TML++ (MIPAL)

Reported on 4 benchmarks across 1 task · 1 paper

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

Computer Vision4 results

Pose TrackingonPoseTrack2018
MOTA· 2019-05-23
54.86
best: 64.3 (DetTrack)
Pose estimator and tracker using temporal flow maps for limbs arXiv:1905.09500
Pose TrackingonPoseTrack2018
mAP· 2019-05-23
67.81
best: 74.03 (MSRA)
Pose estimator and tracker using temporal flow maps for limbs arXiv:1905.09500
Pose TrackingonPoseTrack2017
MOTA· 2019-05-23
54.46
best: 64.09 (DetTrack)
Pose estimator and tracker using temporal flow maps for limbs arXiv:1905.09500
Pose TrackingonPoseTrack2017
mAP· 2019-05-23
68.78
best: 74.95 (HRNet-W48 COCO)
Pose estimator and tracker using temporal flow maps for limbs arXiv:1905.09500