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Multi-Person Pose Tracking on PoseTrack Challenge Leaderboard 2017 (test)

74.9mAPHRNet-W48
57.53262.04166.5571.059Apr 17, 2018Jun 8, 2018Jul 30, 2018Sep 21, 2018Nov 12, 2018Jan 3, 2019Feb 25, 2019

Evaluation results

MethodLinks
HRNet-W48Additional training Data=COCO2019.0274.957.9——
ResNet-152Additional Training Dataset=COCO, trained on train+validation set=true2018.0474.657.8——
FlowTrackAdditional training Data=COCO2019.0274.657.8——
Flowtrack - 152Paradigm=Top-Down, Backbone=ResNet-1522018.1173.957.670.764.9
ML-LABAdditional Training Dataset=COCO+MPII-Pose2018.0470.341.8——
ML-LABAdditional training Data=COCO+MPII-Pose2019.0270.341.8——
STAFAdditional training Data=COCO+MPII-Pose2019.0270.353.8——
Model I-BParadigm=Bottom-Up, Scale=MS, fps=22018.1170.353.86560.7
Flowtrack - 50Paradigm=Top-Down, Backbone=ResNet-502018.117056.465.160.3
Model II-BParadigm=Bottom-Up, Scale=MS, fps=72018.1169.652.462.859.5
MIPALAdditional training Data=COCO2019.0268.854.5——
HMPTAdditional training Data=COCO+MPII-Pose2019.0263.751.9——
JointFlowAdditional training Data=COCO2019.0263.653.1——
JointFlowParadigm=Bottom-Up, fps=0.22018.1163.353.153.150.4
MVIGAdditional Training Dataset=COCO+MPII-Pose2018.0463.250.7——
MVIGAdditional training Data=COCO+MPII-Pose2019.0263.250.7——
PoseFlowAdditional Training Dataset=COCO+MPII-Pose2018.046351——
PoseFlowAdditional training Data=COCO+MPII-Pose2019.026351——
PoseFlowParadigm=Bottom-Up, fps=10*2018.1163515957.9
ProTrackerAdditional Training Dataset=COCO2018.0459.651.8——
ProTrackerAdditional training Data=COCO2019.0259.651.8——
Detect-and-trackParadigm=Top-Down, fps=1.22018.1159.651.8——
PoseTrackParadigm=Top-Down2018.1159.448.454.349.2
BUTD2Additional Training Dataset=COCO2018.0459.250.6——
BUTD2Additional training Data=COCO2019.0259.250.6——
BUTDParadigm=Top-Down2018.1159.150.652.942.6
SOPT-PTAdditional Training Dataset=COCO+MPII-Pose2018.0458.242——
SOPT-PTAdditional training Data=COCO+MPII-Pose2019.0258.242——