Girdhar et al.

Reported on 6 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

Pose EstimationonCOCO test-challenge
AR· 2017-12-26
70.2
best: 82.6 (4×RSN-50)
Detect-and-Track: Efficient Pose Estimation in Videos arXiv:1712.09184
Pose EstimationonCOCO test-challenge
ARM· 2017-12-26
60.7
best: 78 (4×RSN-50)
Detect-and-Track: Efficient Pose Estimation in Videos arXiv:1712.09184

Methodology2 results

3DonCOCO test-challenge
AR· 2017-12-26
70.2
best: 82.6 (4×RSN-50)
Detect-and-Track: Efficient Pose Estimation in Videos arXiv:1712.09184
3DonCOCO test-challenge
ARM· 2017-12-26
60.7
best: 78 (4×RSN-50)
Detect-and-Track: Efficient Pose Estimation in Videos arXiv:1712.09184

Audio2 results

1 Image, 2*2 StitchionCOCO test-challenge
AR· 2017-12-26
70.2
best: 82.6 (4×RSN-50)
Detect-and-Track: Efficient Pose Estimation in Videos arXiv:1712.09184
1 Image, 2*2 StitchionCOCO test-challenge
ARM· 2017-12-26
60.7
best: 78 (4×RSN-50)
Detect-and-Track: Efficient Pose Estimation in Videos arXiv:1712.09184