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Human Pose Estimation on CrowdPose (val)

73.7APMIPNet
62.98865.76968.5571.331Jan 27, 2021

Evaluation results

MethodLinks
MIPNetBackbone=HRNet-W48, Input Resolution=384x2882021.0173.791.98080.774.166.5—
MIPNetArch=HRNet-48, Input Resolution=384 x 288, Batch Size=242021.0173.791.98080.774.166.557.3
MIPNetBackbone=HRNet-W32, Input Resolution=384x2882021.017391.879.380.773.365.5—
MIPNetArch=HRNet-32, Input Resolution=384 x 288, Batch Size=242021.017391.879.380.773.365.544.1
MIPNetBackbone=HRNet-W48, Input Resolution=256x1922021.0172.89279.280.673.165.2—
HRNetBackbone=HRNet-W48, Input Resolution=384x2882021.0172.892.178.781.373.364—
MIPNetArch=HRNet-48, Input Resolution=256 x 192, Batch Size=242021.0172.89279.280.673.165.239.6
HRNet-48Input Resolution=384 x 288, Batch Size=242021.0172.892.178.781.373.36449.1
HRNetBackbone=HRNet-W32, Input Resolution=384x2882021.0171.691.177.780.472.162.6—
HRNet-32Input Resolution=384 x 288, Batch Size=242021.0171.691.177.780.472.162.639.4
HRNetBackbone=HRNet-W48, Input Resolution=256x1922021.0171.391.177.580.571.462.5—
HRNet-48Input Resolution=256 x 192, Batch Size=242021.0171.391.177.580.571.462.533.8
MIPNetBackbone=HRNet-W32, Input Resolution=256x1922021.0171.291.977.478.871.563.8—
MIPNetArch=HRNet-32, Input Resolution=256 x 192, Batch Size=242021.0171.291.977.478.871.563.830.9
HRNetBackbone=HRNet-W32, Input Resolution=256x1922021.01709176.378.870.361.7—
HRNet-32Input Resolution=256 x 192, Batch Size=242021.01709176.378.870.361.727.5
MIPNetBackbone=HRNet-W48-384, Detector=Faster R-CNN, Paradigm=Top-Down2021.0168.8——————
HRNetBackbone=HRNet-W48-384, Detector=Faster R-CNN, Paradigm=Top-Down2021.0168——————
MIPNetBackbone=ResNet101, Detector=YOLO-v3, Paradigm=Top-Down2021.0163.4——————