Overview

We offer a benchmark suite together with an evaluation server, such that authors can upload their results and get a ranking. We offer a Dataset that contains more than 50000 pictures, including 30462 images for training set, 10000 images for validation set and 10000 images for test set. If you would like to submit your results, please register, login, and follow the instructions on our submission page.

Note: We only display the highest submission of each person.

Single-Person Human Parsing Track

Metrics

We use four metrics from common semantic segmentation and scene parsing evaluations that are variations on pixel accuracy and region intersection over union (IU). The metrics are reported by FCN. The four metrics are Pixel accuracy(%) , Mean accuracy(%), Mean IoU(%) and Frequency weighted IoU(%). The details show per-class IoU(%).

User Id	Method	Pixel accuracy	Mean accuracy	Mean IoU	Frequency weighted IoU	Details	Abbreviation	Submit Time
20	S3L	85.86	57.63	46.92	76.25	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 86.84 64.19 71.87 38.92 29.33 69.51 38.09 57.10 42.44 72.82 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 28.66 16.09 26.23 74.79 43.04 47.70 37.01 36.75 28.22 28.86	Abbreviation Contributors Description Anonymous Structured Semantic Segmentation Learning	2017-03-27 08:01:16
57	ResNet1	85.32	56.73	45.78	75.44	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 86.42 62.92 70.86 34.81 27.35 67.85 34.22 55.22 40.71 71.19 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 21.36 17.33 24.68 73.65 45.12 47.79 39.47 36.88 31.31 26.56	Abbreviation Contributors Description .. ResNet101	2017-04-18 13:53:06
52	VSNet-SLab+Samsung	87.06	66.73	54.13	77.98	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.31 66.42 72.11 43.17 31.09 69.09 41.65 56.68 42.70 74.42 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 31.98 21.69 33.29 74.13 62.64 64.35 59.03 59.40 45.69 45.68	Abbreviation Contributors Description Lejian Ren[1],Renda Bao[1],Yao Sun[1],Si Liu[1] and Yinglu Liu[2],Yanli Li[2],Junjun Xiong[2] [1]IIE,CAS [2]Beijing Samsung Telecom R&D Center We have proposed a view-specific contextual human parsing method. It has two core contributions. (1) The model has a cascade structure including a view classifier and the corresponding human parsing model w.r.t the specific view. The view classifier predicts whether the human is in frontal or back view. The view groundtruth is automatically generated by analyzing the parsing groundtruth with human knowledge. We observe that the IoUs of left/right legs, left/right shoes are significantly boosted in the validation set. (2) We train a category classifier to estimate the labels of the images[1]. The classification results serve as the context of the parsing and boost the performances. Two human parsing models based on RefineNet[2] and PSPnet [3] are implemented. The best results were obtained by combining them. No extra datasets were used. [1] Human Parsing With Contextualized Convolutional Neural Network, Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin, Shuicheng Yan. TPAMI, 2016 [2] RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation, Guosheng Lin, Anton Milan, Chunhua Shen, Ian Reid, CVPR 2017 [3] Pyramid Scene Parsing Network, Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia. CVPR 2017	2017-06-04 15:14:38
41	WhiskNet	86.16	57.95	47.74	76.45	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 86.66 62.69 70.76 36.41 15.54 68.66 37.45 55.64 40.54 72.86 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 26.23 18.67 29.57 73.46 57.09 58.50 41.72 41.34 30.17 30.88	Abbreviation Contributors Description Haoshu Fang, Yuwing Tai, Cewu Lu It has been demonstrated that multi-scale features are useful to improve the performance of semantic segmentation. However, without careful design of network architectures, deep models such as ResNet-101 cannot fully utilize the atrous convolution structure proposed in [1] to leverage the advantage of multi-scale features. In this work, we propose 'WhiskNet', which utilizes building blocks of ResNet, to extract and incorporate very deep multi-scale features into a single network model. Moreover, 'WhiskNet' adds an extra 'Multi-atrous-convolution' for each scale which achieves excellent performance when merging multi-scale features. [1]Attention to Scale: Scale-aware Semantic Image Segmentation Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu and Alan L Yuille CVPR 2016	2017-06-03 14:22:05
68	1	83.27	54.44	42.39	72.62	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 84.30 56.44 65.97 28.76 18.31 63.10 30.91 51.12 30.13 65.59 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.53 9.67 23.33 69.73 47.97 50.18 37.11 36.77 23.11 27.87	Abbreviation Contributors Description 1 1	2017-06-02 07:30:01
46	Self-Supervised Neural Aggregation Networks	87.29	63.35	52.26	78.25	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.91 66.54 73.14 40.23 27.30 70.47 39.09 58.03 44.25 74.52 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 29.94 24.04 32.51 75.56 58.84 60.74 51.82 52.16 39.44 38.74	Abbreviation Contributors Description ZHAO Jian (NUS & NUDT), NIE Xuecheng (NUS), XIAO Huaxin (NUS & NUDT), CHEN Yunpeng (NUS), LI Jianshu (NUS), YAN Shuicheng (NUS & Qihoo360 AI Institute) (The first 3 authors are with equal contributions.) We present a Self-Supervised Neural Aggregation Network (SS-NAN) for human parsing. SS-NAN adaptively learns to aggregate the multi-scale features at each pixel "address". In order to further improve the feature discriminative capacity, a self-supervised joint loss is adopted as an auxiliary learning strategy, which imposes human joint structures into parsing results without resorting to extra supervision. The proposed SS-NAN is end-to-end trainable. SS-NAN can be integrated into any advanced neural networks to help aggregate features regarding the importance at different positions and scales and incorporate rich high-level knowledge regarding human joint structures from a global perspective, which in turn improve the parsing results. Moreover, to further boost the overall performance of SS-NAN for human parsing, we also leverage a robust multi-view strategy with different state-of-the-art backbone models.	2017-06-04 13:23:59
107	BUPTMM-Parsing	84.93	55.62	45.44	74.60	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 85.20 60.25 68.60 32.11 21.38 66.51 32.41 55.08 35.01 69.19 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 25.37 14.77 24.92 72.12 53.75 55.82 39.82 40.16 28.33 27.97	Abbreviation Contributors Description Peng Cheng, Xiaodong Liu, Peiye Liu, Wu Liu We revised and finetuned the Attention+SSL [1] and Attention to Scale [2] on LIP training set. Then we combined the two models with different fusion strategies. [1] "Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing", Ke Gong, Xiaodan Liang, Xiaohui Shen, Liang Lin, CVPR 2017. [2] Attention to Scale: Scale-aware Semantic Image Segmentation Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu and Alan L Yuille CVPR 2016	2017-06-04 14:54:06
18	TestParsing	85.04	59.05	47.68	74.85	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 85.31 59.56 67.59 32.65 22.82 65.65 36.27 53.53 34.54 69.36 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 23.10 15.58 24.78 71.56 56.06 57.85 50.28 50.81 38.25 38.13	Abbreviation Contributors Description	2018-01-13 08:42:57
258	AttEdgeNet	88.41	67.64	56.47	80.00	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.01 68.90 75.37 47.60 35.42 71.65 39.27 58.94 49.86 76.48 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 28.46 24.99 31.79 77.36 68.52 69.05 60.15 59.70 49.25 47.54	Abbreviation Contributors Description	2018-11-16 01:41:04
284	Attention	84.52	54.83	44.60	74.03	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 84.90 59.11 68.25 31.48 20.76 65.47 30.71 53.47 34.67 68.47 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 22.75 14.97 22.35 71.89 52.54 55.31 39.77 39.67 27.60 27.85	Abbreviation Contributors Description WuTao ABC	2018-05-03 15:45:48
287	n_v3	86.73	61.93	51.53	77.30	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 86.75 63.59 70.81 36.70 22.68 68.55 37.10 57.35 38.33 73.04 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 28.09 12.35 28.37 74.33 62.98 64.23 58.71 58.89 44.32 43.40	Abbreviation Contributors Description	2018-06-04 01:58:10
283	JD_BUPT	87.42	65.86	54.44	78.34	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.26 65.10 72.21 42.71 31.03 70.53 42.04 58.95 42.59 74.47 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 32.27 22.03 33.40 74.93 63.82 65.66 59.68 59.92 45.37 44.84	Abbreviation Contributors Description Xinchen Liu (BUPT&JD), Meng Zhang (BUPT), Yanan Li (BUPT), Wenhui Gao (BUPT), Jiangtian Pan (JD AI Research), Wu Liu (JD AI Research), Huadong Ma (BUPT) (1) We revised and finetuned the JPP-Net[1], SS-NAN[2], SSL[3], DenseNet[4], RefineNet[5] on LIP training set. Then we combined the five models with different fusion strategies. (2) We mined several hard classes to improve the overall performance. (3) We used the data augmentation, focal loss[6], and image morphology. [1]Liang et al., Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark, T-PAMI, 2018. [2]Zhao et al., Self-Supervised Neural Aggregation Networks for Human Parsing, CVPR Workshop, 2017. [3]Gong et al., Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing, CVPR, 2017. [4]Jegou et al., The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation, CVPR, 2017. [5]Lin et al., RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation, CVPR, 2017. [6]Focal Loss for Dense Object Detection, Lin et al., ICCV, 2017.	2018-06-10 12:59:11
290	densenet&deeplabv3+	81.56	49.56	37.92	70.65	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 83.19 50.91 63.94 15.78 4.58 59.92 26.81 47.19 27.71 62.74 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 17.66 2.88 11.60 68.13 44.82 48.30 36.70 36.21 25.92 23.40	Abbreviation Contributors Description hanqiuyuan I replace the backbone of Xception with densenet in the deeplabv3+ model.Meanwhile, I remove the last layer of densenet and the maxpool layer to get the feature map. The atrous I use are 3,6,9 and the output_stride is 32.The crop_size is 640 because the maxsize of the dataset id 640. Finally, I concat the Unit1 of Block2 with the resized and concated feature maps.	2018-05-27 05:33:01
292		87.74	65.72	55.43	78.70	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.59 66.47 72.68 43.25 34.98 70.70 40.48 59.49 46.94 74.72 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 30.84 30.40 35.19 76.19 66.17 67.17 58.79 58.14 44.34 43.98	Abbreviation Contributors Description	2018-09-27 11:03:38
297	xNet	80.98	47.50	36.20	70.20	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 84.03 61.58 69.31 29.35 22.69 58.93 27.68 45.39 31.34 65.49 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 8.25 9.27 19.56 72.61 2.73 38.18 12.44 32.50 13.34 19.33	Abbreviation Contributors Description	2018-06-06 04:21:49
301	zz	89.26	72.03	60.54	81.19	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.02 70.53 75.50 53.18 39.36 74.00 48.65 62.51 49.62 78.25 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.50 35.99 38.68 77.21 71.78 72.51 69.91 68.99 54.06 53.54	Abbreviation Contributors Description	2019-06-02 23:37:58
270	CE2P	88.92	67.78	57.90	80.59	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.05 68.88 75.38 46.98 36.80 73.11 38.31 60.97 50.19 77.11 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 29.25 26.10 30.89 77.87 69.74 71.15 66.43 66.33 51.80 51.76	Abbreviation Contributors Description Ting Liu(BJTU)*, Tao Ruan(BJTU)*, Yunchao Wei(UIUC), Shikui Wei(BJTU), Jinjun Xiong(UIUC, IBM), Yao Zhao(BJTU), Thomas Huang(UIUC). (* means equal contribution) We proposed a novel CE2P[1] network, which consists of three key modules to learn for parsing in an end-to-end manner: 1) high resolution embedding module; 2) global context embedding module; 3) edge perceiving module. With the Res101 as the backbone, one single CE2P model can achieve the mIoU score of 56.5% without any bells and whistles. Our best result is produced by an ensemble of three models. Code has been made available at https://github.com/liutinglt/CE2P. Ref: [1] Devil in the Details: Towards Accurate Single and Multiple Human Parsing. AAAI 2019	2018-09-19 13:19:19
285	B	89.02	70.72	59.58	80.86	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.06 70.36 75.26 49.75 36.14 72.75 42.06 60.51 49.30 77.72 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 31.13 25.96 35.19 77.33 71.66 72.92 72.03 71.08 55.95 55.46	Abbreviation Contributors Description	2019-04-08 04:33:28
307	Reproduce_SCHP	88.04	72.34	58.29	79.56	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.30 69.93 74.20 52.31 39.62 70.55 38.68 58.62 50.45 75.73 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 32.74 25.93 31.67 76.38 68.69 69.94 67.56 66.62 54.46 53.42	Abbreviation Contributors Description	2020-02-02 15:30:03
309		86.80	61.62	51.41	77.37	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 86.82 63.48 70.82 37.63 22.38 69.09 37.22 57.15 38.69 73.15 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 28.99 11.45 27.38 74.34 62.35 63.76 58.04 58.43 43.86 43.08	Abbreviation Contributors Description	2018-10-18 02:40:13
325	jpp21	86.51	61.39	51.18	76.90	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 86.44 62.41 70.53 36.72 26.55 68.51 32.79 56.45 40.46 72.42 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 25.08 13.51 27.58 74.14 63.01 64.08 57.51 57.93 43.88 43.57	Abbreviation Contributors Description	2018-10-09 05:57:44
328		87.51	63.29	53.21	78.47	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.86 65.17 73.51 39.01 32.57 70.32 34.04 57.68 46.44 74.00 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.40 16.17 23.76 76.16 65.02 66.72 58.75 58.93 45.44 45.32	Abbreviation Contributors Description	2018-10-13 09:08:03
330		86.41	60.75	50.30	76.75	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 86.40 62.31 70.12 35.22 22.56 68.46 31.15 56.09 38.46 72.44 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 25.25 11.84 25.88 73.93 62.11 63.51 56.84 57.25 43.59 42.67	Abbreviation Contributors Description	2018-10-18 12:20:03
329	pspnet101	87.52	63.20	53.27	78.34	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.45 65.89 73.38 40.50 31.37 70.98 36.23 58.20 44.58 74.88 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.12 21.69 30.00 76.06 63.69 65.05 57.04 56.96 43.05 41.27	Abbreviation Contributors Description	2018-10-22 08:06:51
335		84.19	57.36	47.17	73.10	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 83.37 53.99 62.68 36.35 29.50 65.57 35.58 54.19 35.06 65.25 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 25.55 23.21 31.74 69.78 57.23 56.01 48.42 47.41 31.60 30.93	Abbreviation Contributors Description	2018-11-02 02:06:26
340		85.80	62.60	51.39	75.92	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 85.82 60.53 68.09 41.12 24.93 65.69 32.14 52.38 42.23 71.43 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 17.79 13.53 23.77 72.65 64.62 65.61 63.56 63.49 49.41 48.98	Abbreviation Contributors Description	2019-04-03 08:57:12
324	e2e_semantic_p2_4convs_mask_project_softmax	83.25	64.74	47.40	73.29	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 83.70 63.17 69.90 39.11 38.38 64.30 33.10 52.29 44.39 67.90 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 25.24 18.45 22.07 73.03 51.63 52.98 38.59 38.75 35.71 35.37	Abbreviation Contributors Description Cheng-Yang Fu Train : Lip_train	2018-11-09 23:47:12
369	Zll	85.29	61.67	49.91	75.23	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 85.26 60.90 68.13 36.69 26.83 65.24 32.89 53.63 37.86 69.71 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 22.99 13.03 23.88 72.43 61.58 63.10 59.33 59.81 42.43 42.57	Abbreviation Contributors Description Zllrunning First try!	2019-01-22 14:40:32
377	test1111	45.61	22.97	13.27	35.76	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 50.25 13.14 16.64 10.57 1.47 18.48 11.71 17.41 8.54 20.42 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 1.80 2.82 4.85 13.77 4.97 5.20 12.48 17.41 16.96 16.52	Abbreviation Contributors Description test1111 test1111	2019-03-11 11:11:13
379	Code X	89.79	75.86	63.57	82.03	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.32 71.74 76.03 55.80 41.98 74.78 52.93 65.00 55.10 79.08 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 38.56 39.99 41.77 77.70 72.68 73.41 73.31 72.87 59.55 59.71	Abbreviation Contributors Description	2019-06-01 07:33:18
382		90.61	74.69	64.13	83.33	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 90.56 73.30 77.89 56.43 40.26 76.55 52.77 65.58 54.88 80.60 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 33.01 37.31 44.09 79.30 75.52 76.05 75.25 74.19 59.45 59.53	Abbreviation Contributors Description	2019-06-02 19:43:26
384	what?	79.72	42.31	36.53	66.09	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 77.53 42.93 48.46 17.03 7.82 57.13 28.59 50.17 21.86 60.77 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 22.79 6.66 23.13 54.92 38.05 39.11 41.71 42.28 25.02 24.62	Abbreviation Contributors Description	2019-03-14 13:51:19
344	MPP	86.41	60.75	50.30	76.75	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 86.40 62.31 70.12 35.22 22.56 68.46 31.15 56.09 38.46 72.44 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 25.25 11.84 25.88 73.93 62.11 63.51 56.84 57.25 43.59 42.67	Abbreviation Contributors Description fdu_tsq MPP-tsq-sysu	2019-03-22 08:48:49
395	DENet	86.74	63.63	52.54	77.35	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.10 64.28 72.13 40.27 33.14 68.06 31.82 55.02 44.20 73.25 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 26.48 23.51 25.80 74.84 64.29 65.59 55.96 55.85 45.22 44.02	Abbreviation Contributors Description	2019-03-26 07:14:56
396		87.45	65.98	54.16	78.50	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.88 66.57 73.08 44.57 31.14 69.64 37.81 57.10 46.94 74.65 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 29.27 19.11 28.78 75.07 64.73 66.90 58.38 58.78 46.90 45.88	Abbreviation Contributors Description	2019-04-11 16:56:28
236		90.02	74.61	63.07	82.35	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.76 72.59 76.89 56.72 42.90 75.25 48.14 64.87 52.86 79.52 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 31.23 36.57 40.21 78.15 73.88 74.21 74.22 73.09 60.13 60.28	Abbreviation Contributors Description	2019-06-02 21:04:23
399		88.85	68.35	57.82	80.51	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.96 69.66 75.53 49.30 35.70 73.09 38.76 61.11 49.41 77.18 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 28.10 30.00 32.32 77.70 69.25 71.04 65.11 64.43 49.85 50.01	Abbreviation Contributors Description	2019-05-09 11:42:17
394	BAIDU-UTS	90.38	77.33	65.18	83.00	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 90.10 73.76 77.48 59.30 44.60 75.89 51.73 65.27 56.70 80.54 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 38.77 40.58 44.01 78.43 75.21 75.64 76.05 74.84 62.44 62.22	Abbreviation Contributors Description Peike Li, Yunqiu Xu, Yi Yang	2019-06-03 00:00:35
413	BUPT-pris727	88.95	68.19	57.93	80.63	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.97 69.91 75.68 49.40 34.96 73.42 39.35 61.51 48.99 77.37 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.98 29.52 32.29 77.82 69.62 71.30 65.60 64.65 50.12 50.11	Abbreviation Contributors Description	2019-05-19 09:38:14
391		62.40	12.10	9.17	43.08	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 62.77 1.75 22.89 0.00 0.00 24.13 0.00 9.91 0.00 20.23 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 0.00 0.00 0.00 32.37 0.27 7.62 1.00 0.48 0.00 0.00	Abbreviation Contributors Description	2019-04-12 11:22:30
416		87.58	66.07	55.03	78.61	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.80 66.12 72.51 44.42 34.73 70.02 37.56 57.78 46.96 74.25 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 24.95 23.08 27.73 75.40 66.51 68.27 61.50 61.66 49.88 49.38	Abbreviation Contributors Description	2019-05-12 12:02:46
405	yuanjianlong	89.53	70.86	59.96	81.65	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.90 71.61 76.95 52.71 38.47 74.02 43.67 61.52 49.44 78.95 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.30 34.20 38.36 78.71 71.40 72.59 67.09 66.24 53.17 52.91	Abbreviation Contributors Description https://github.com/jianlong-yuan/MRFM https://github.com/jianlong-yuan/MRFM	2019-05-10 17:05:02
323	HGP	31.90	7.51	3.39	24.08	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 39.96 0.99 8.39 0.13 0.02 4.01 0.41 0.40 0.13 0.45 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 0.90 0.11 0.29 6.77 2.13 2.32 0.41 0.05 0.01 0.00	Abbreviation Contributors Description HGP HGP	2019-04-18 04:32:03
428		88.74	71.90	59.31	80.57	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.06 70.54 75.48 51.62 39.75 71.75 40.15 59.49 50.94 77.04 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 29.74 23.68 34.24 77.52 71.69 72.84 69.92 68.84 56.11 55.79	Abbreviation Contributors Description	2019-05-23 03:28:30
310		87.86	64.84	54.63	78.99	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.05 67.65 73.79 41.72 32.43 71.48 37.80 59.51 46.48 74.27 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 28.48 22.76 30.69 76.31 65.66 66.61 58.18 57.96 46.95 45.91	Abbreviation Contributors Description	2019-04-27 11:37:29
363	PMSP	87.27	64.29	53.55	78.07	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 87.48 66.96 73.46 44.71 34.92 69.93 31.93 56.75 47.90 74.10 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 28.22 25.92 30.83 76.17 65.02 66.14 55.10 54.50 40.61 40.44	Abbreviation Contributors Description	2019-05-08 08:50:27
404	FPN	85.41	61.07	50.05	75.36	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 85.27 59.67 68.46 38.73 27.10 66.19 30.28 52.88 40.01 70.21 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 24.84 15.67 24.08 72.37 62.86 64.29 59.36 59.46 40.26 39.06	Abbreviation Contributors Description	2019-05-02 18:31:40
431	test	88.39	68.20	56.61	79.97	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.82 68.46 74.50 47.64 34.44 71.94 41.21 59.97 49.49 76.29 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 30.73 25.07 31.37 76.50 67.99 69.28 61.37 61.21 48.06 47.90	Abbreviation Contributors Description	2019-05-20 15:50:04
432		88.80	71.79	59.33	80.51	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.69 67.14 72.88 49.50 33.03 72.87 43.83 62.25 48.72 77.69 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 28.95 37.05 37.94 74.75 69.98 70.43 70.52 69.36 55.42 55.60	Abbreviation Contributors Description	2019-06-02 14:26:13
437	rl	89.10	70.92	59.38	80.95	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.12 71.14 76.58 52.24 37.60 73.48 44.15 60.97 48.01 78.15 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.38 33.44 37.96 78.11 70.09 71.44 66.44 65.44 53.01 52.82	Abbreviation Contributors Description	2019-05-09 03:54:13
446		88.16	66.72	55.78	79.51	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.41 67.51 74.23 45.26 33.43 71.42 37.57 59.66 47.76 75.71 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 25.87 24.14 29.93 76.59 67.58 69.26 61.68 61.16 49.41 49.11	Abbreviation Contributors Description	2019-05-15 11:34:56
438		89.48	72.32	61.30	81.53	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.38 70.22 75.68 53.79 37.27 73.86 46.42 62.95 50.38 78.96 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.13 41.36 40.03 77.12 72.16 72.85 71.62 71.35 56.43 57.15	Abbreviation Contributors Description 3rd0.5	2019-05-29 15:46:55
433	Test1	89.54	74.96	62.46	81.69	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.24 70.76 75.76 53.71 38.71 74.26 50.79 64.04 51.32 78.92 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 36.02 40.34 44.81 76.92 71.85 72.81 72.18 71.71 57.44 57.63	Abbreviation Contributors Description	2019-06-02 15:21:14
448	unet_a_0.25	83.75	56.31	43.82	73.33	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 84.94 58.81 68.23 25.20 27.49 62.93 19.19 49.79 35.21 67.05 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 18.24 8.75 20.64 73.85 51.79 54.64 42.19 43.70 33.20 30.52	Abbreviation Contributors Description Motoki Kimura	2019-05-22 15:11:56
453	test102	89.14	72.44	60.65	81.01	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.94 69.86 75.12 49.90 37.29 72.98 45.39 62.53 46.75 78.33 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 33.95 37.55 40.61 76.52 71.54 72.18 71.05 70.57 55.67 56.16	Abbreviation Contributors Description	2019-06-01 09:52:19
457		89.83	76.12	63.82	82.09	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.34 71.88 76.02 55.89 41.75 74.80 53.16 65.04 55.16 79.25 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 38.94 40.08 42.23 77.70 72.92 73.61 74.04 73.68 60.43 60.41	Abbreviation Contributors Description	2019-06-02 10:33:04
466	test	31.90	7.51	3.39	24.08	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 39.96 0.99 8.39 0.13 0.02 4.01 0.41 0.40 0.13 0.45 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 0.90 0.11 0.29 6.77 2.13 2.32 0.41 0.05 0.01 0.00	Abbreviation Contributors Description	2019-09-16 03:01:48
468	trans_model_multi	89.25	77.31	62.61	81.33	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.92 71.45 75.06 55.18 41.69 73.52 50.55 62.69 53.49 78.46 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 37.59 33.60 42.49 76.57 72.13 73.05 73.26 72.76 59.90 59.83	Abbreviation Contributors Description	2019-10-11 05:24:27
471	PCALab_HPPE3	88.11	67.31	55.95	79.43	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.37 67.53 73.91 46.32 35.06 71.30 38.92 59.24 47.20 75.55 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 26.71 26.21 30.67 76.45 67.41 69.06 61.38 60.86 48.77 48.17	Abbreviation Contributors Description	2019-10-18 16:10:06
473		88.04	72.34	58.29	79.56	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.30 69.93 74.20 52.31 39.62 70.55 38.68 58.62 50.45 75.73 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 32.74 25.93 31.67 76.38 68.69 69.94 67.56 66.62 54.46 53.42	Abbreviation Contributors Description	2019-11-14 12:45:38
494	pspnet_modify	82.02	46.56	36.63	70.84	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 83.62 57.94 64.63 25.78 15.05 63.03 30.92 50.76 30.56 66.87 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.38 7.34 20.26 68.52 14.68 31.05 27.59 16.82 25.31 4.50	Abbreviation Contributors Description	2020-01-10 03:26:31
493	resnest101_asp_ocr	88.67	67.98	57.55	80.23	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.72 69.43 75.46 50.64 36.12 72.81 39.14 60.69 50.70 76.62 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 33.58 25.55 30.80 77.17 69.49 70.34 63.30 63.07 48.85 48.54	Abbreviation Contributors Description xiaoyang resnest101_asp_ocr	2020-06-14 17:57:27
511		88.04	72.34	58.29	79.56	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.30 69.93 74.20 52.31 39.62 70.55 38.68 58.62 50.45 75.73 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 32.74 25.93 31.67 76.38 68.69 69.94 67.56 66.62 54.46 53.42	Abbreviation Contributors Description	2020-03-29 12:51:16
536		89.96	78.93	63.85	82.54	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.99 72.79 77.09 58.38 41.69 74.62 48.29 63.97 53.05 79.97 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 37.90 36.46 40.19 78.66 74.49 75.82 75.34 75.06 61.70 61.63	Abbreviation Contributors Description	2020-09-27 03:19:09
550		90.21	78.15	64.59	82.83	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 90.03 73.48 77.18 59.34 43.06 75.48 49.88 65.20 54.04 80.19 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 36.54 38.02 42.53 78.43 75.39 75.90 76.05 75.28 62.89 62.93	Abbreviation Contributors Description	2020-09-28 06:19:22
551	Tencent YouTu Lab	91.36	77.44	65.70	84.73	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 92.09 75.18 80.10 60.40 44.79 77.19 49.39 66.14 55.59 81.97 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 35.09 37.72 41.68 81.64 77.96 79.44 77.12 76.06 62.10 62.42	Abbreviation Contributors Description	2020-09-16 12:14:23
549		88.89	68.84	59.11	80.43	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.48 70.57 75.80 52.14 41.67 73.32 42.28 61.62 46.79 75.91 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 30.48 29.84 32.43 77.96 72.76 72.77 69.05 67.20 51.19 50.02	Abbreviation Contributors Description	2021-04-26 03:02:03
553		89.61	74.52	62.22	81.89	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.77 72.05 76.67 56.77 41.32 73.81 46.37 62.31 53.73 78.67 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 32.32 34.99 38.36 78.32 73.85 75.03 71.51 71.17 58.70 58.79	Abbreviation Contributors Description	2020-09-16 04:39:40
555	res2_101 mix mnode	89.72	76.73	63.27	82.07	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.62 72.42 76.42 57.80 42.72 74.06 47.79 63.43 53.25 79.52 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 35.22 34.59 40.42 77.69 74.22 74.67 75.16 73.65 61.09 61.62	Abbreviation Contributors Description	2020-09-26 06:59:39
543	AutoPP	88.35	71.64	58.60	79.92	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 88.37 66.22 72.35 52.10 34.56 71.47 41.53 59.64 49.25 76.73 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 28.98 27.32 31.76 75.26 70.76 71.13 71.42 70.62 56.41 56.12	Abbreviation Contributors Description	2021-02-23 09:21:38
557		31.90	7.51	3.39	24.08	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 39.96 0.99 8.39 0.13 0.02 4.01 0.41 0.40 0.13 0.45 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 0.90 0.11 0.29 6.77 2.13 2.32 0.41 0.05 0.01 0.00	Abbreviation Contributors Description	2020-10-19 06:56:00
581	guangying_human_parsing	89.34	75.20	61.57	81.46	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 89.38 72.02 75.91 57.48 40.11 73.56 45.70 62.41 53.14 78.35 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 33.37 32.69 36.71 77.58 71.52 72.92 71.06 70.10 58.87 58.53	Abbreviation Contributors Description skyhaoxu	2021-02-17 15:18:41
590	Hslms	86.92	66.33	54.78	77.37	Details background hat hair glove sunglasses upper-clothes dress coat socks pants 86.12 66.26 71.74 47.98 38.93 69.86 41.49 57.30 40.70 71.47 jumpsuits scarf skirt face left-arm right-arm left-leg right-leg left-shoe right-shoe 27.79 19.86 30.62 75.05 66.31 68.99 62.45 63.13 44.65 44.87	Abbreviation Contributors Description	2021-04-20 09:37:15

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