306 |
CFA |
|
|
91.000 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
95.800 |
94.700 |
92.500 |
90.400 |
81.700 |
90.600 |
90.500 |
93.400 |
91.000 |
|
Abbreviation
|
2019-03-11 08:39:23 |
377 |
747474 |
|
|
0.200 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
0.500 |
0.200 |
0.200 |
0.300 |
0.100 |
0.200 |
0.100 |
0.300 |
0.200 |
|
Abbreviation
|
2019-05-29 23:51:35 |
298 |
|
|
|
92.600 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
96.600 |
95.700 |
94.300 |
92.900 |
83.400 |
92.500 |
92.300 |
94.900 |
92.600 |
|
Abbreviation
|
2019-06-02 15:41:44 |
384 |
how |
|
|
78.300 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
88.200 |
84.700 |
79.900 |
78.200 |
66.300 |
73.700 |
74.100 |
82.900 |
78.300 |
|
Abbreviation
|
2019-03-14 14:10:59 |
385 |
GCCPM (160 fps) |
|
|
88.600 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
95.300 |
93.700 |
90.300 |
87.800 |
78.500 |
86.700 |
86.500 |
91.900 |
88.600 |
|
Abbreviation
Contributors |
Description |
Daniil Osokin (IOTG Computer Vision (ICV), Intel Russia) |
We have improved original Convolutional Pose Machine architecture with addition of global context module to enhance receptive field. Also proposed body-masking augmentation technique which improved the prediction results for occluded body parts. 2-stage version of this network runs more than 160 fps on GPU and ~20 fps on CPU. More details can be found in the paper "Global Context for Convolutional Pose Machines", code is available: https://github.com/opencv/openvino_training_extensions/tree/develop/pytorch_toolkit/human_pose_estimation. |
|
2019-05-30 10:08:07 |
383 |
|
|
|
81.900 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
75.800 |
90.200 |
87.200 |
87.800 |
68.700 |
81.200 |
82.900 |
85.200 |
81.900 |
|
Abbreviation
|
2019-03-25 09:35:05 |
340 |
|
|
|
87.500 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
95.100 |
93.000 |
89.200 |
87.500 |
76.600 |
84.600 |
84.500 |
91.300 |
87.500 |
|
Abbreviation
|
2019-04-06 00:11:37 |
393 |
|
|
|
85.800 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
93.400 |
91.500 |
87.700 |
85.400 |
74.700 |
83.400 |
82.300 |
89.600 |
85.800 |
|
Abbreviation
|
2019-03-26 05:33:32 |
401 |
|
|
|
91.100 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
95.800 |
94.700 |
92.800 |
91.100 |
81.400 |
90.900 |
90.300 |
93.700 |
91.100 |
|
Abbreviation
|
2019-04-01 09:40:18 |
402 |
DAN |
|
|
89.400 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
95.500 |
93.800 |
90.700 |
88.500 |
79.600 |
88.300 |
88.000 |
92.200 |
89.400 |
|
Abbreviation
|
2019-04-08 02:25:28 |
410 |
ZFpose |
|
|
6.800 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
13.400 |
8.400 |
5.800 |
5.400 |
5.300 |
4.200 |
3.600 |
8.300 |
6.800 |
|
Abbreviation
|
2019-04-08 05:45:30 |
411 |
ZFpose |
|
|
84.500 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
93.200 |
91.100 |
86.400 |
83.000 |
73.900 |
81.100 |
80.300 |
88.500 |
84.500 |
|
Abbreviation
|
2019-04-09 08:01:50 |
344 |
MPP |
|
|
82.700 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
93.400 |
89.400 |
84.600 |
83.100 |
69.200 |
78.300 |
78.000 |
87.800 |
82.700 |
|
Abbreviation
Contributors |
Description |
fdu_tsq |
JPPNet-s2-tsq-restore-partition |
|
2019-04-15 10:01:36 |
413 |
|
|
|
72.300 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
90.700 |
81.300 |
72.300 |
71.800 |
59.100 |
60.800 |
64.300 |
79.200 |
72.300 |
|
Abbreviation
|
2019-04-21 11:17:27 |
422 |
S_9 |
|
|
92.000 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
96.300 |
95.300 |
93.700 |
92.200 |
82.800 |
92.000 |
91.100 |
94.400 |
92.000 |
|
Abbreviation
|
2019-06-02 20:03:01 |
270 |
|
|
|
90.500 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
95.500 |
94.400 |
92.400 |
90.400 |
80.600 |
90.000 |
89.700 |
93.200 |
90.500 |
|
Abbreviation
|
2019-05-23 03:28:45 |
399 |
|
|
|
73.200 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
91.400 |
81.600 |
72.100 |
73.800 |
57.800 |
61.800 |
69.400 |
80.000 |
73.200 |
|
Abbreviation
|
2019-05-06 09:40:08 |
285 |
G |
|
|
90.200 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
95.700 |
94.400 |
92.400 |
90.400 |
79.600 |
89.300 |
88.600 |
93.300 |
90.200 |
|
Abbreviation
|
2019-06-01 11:10:22 |
434 |
666 |
|
|
92.000 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
96.200 |
95.300 |
93.800 |
92.400 |
82.500 |
91.800 |
91.100 |
94.500 |
92.000 |
|
Abbreviation
|
2019-06-02 21:40:56 |
398 |
|
|
|
92.600 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
96.600 |
95.800 |
94.300 |
93.000 |
83.300 |
92.800 |
92.300 |
95.000 |
92.600 |
|
Abbreviation
|
2019-06-02 15:14:57 |
516 |
try_0 |
|
|
0.200 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
0.500 |
0.200 |
0.200 |
0.300 |
0.100 |
0.200 |
0.100 |
0.300 |
0.200 |
|
Abbreviation
|
2020-06-11 03:22:15 |
538 |
|
|
|
89.400 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
95.300 |
93.900 |
91.000 |
88.900 |
79.100 |
87.900 |
88.400 |
92.400 |
89.400 |
|
Abbreviation
|
2020-12-21 08:38:15 |
543 |
NPP |
|
|
88.900 |
|
Details
Head |
Shoulder |
Elbow |
Wrist |
Hip |
Knee |
Ankle |
UBody |
Total |
95.800 |
93.600 |
90.300 |
88.500 |
79.000 |
86.700 |
86.700 |
92.200 |
88.900 |
|
Abbreviation
|
2021-01-31 03:18:11 |