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Pose Estimation on COCO (test)

76.4APOmniPose (WASPv2)
53.41659.38365.3571.317Jan 27, 2021Feb 9, 2021Feb 22, 2021Mar 7, 2021Mar 20, 2021Apr 2, 2021Apr 15, 2021

Evaluation results

MethodLinks
OmniPose (WASPv2)Input Size=384x288, Params (M)=68.1, GFLOPS=37.92021.0376.492.683.772.682.681.2
DarkPoseInput Size=384x288, Params (M)=63.6, GFLOPS=32.92021.0376.292.583.672.582.481.1
MSPNInput Size=384x288, Params (M)=120, GFLOPS=19.92021.0376.193.483.872.381.581.6
MIPNetBackbone=HRNet-W48-384, Detector=Faster R-CNN, Paradigm=Top-Down2021.0175.7—————
HRNetInput Size=384x288, Params (M)=63.6, GFLOPS=32.92021.0375.592.583.371.981.580.5
HRNetBackbone=HRNet-W48-384, Detector=Faster R-CNN, Paradigm=Top-Down2021.0175.5—————
MIPNetBackbone=ResNet101, Detector=YOLO-v3, Paradigm=Top-Down2021.0174.2—————
OPEC-NetBackbone=ResNet101, Detector=YOLO-v3, Paradigm=Top-Down2021.0173.9—————
Simple BaselineInput Size=384x288, Params (M)=68.6, GFLOPS=35.62021.0373.791.970.381.18079
SBLBackbone=ResNet101, Detector=YOLO-v3, Paradigm=Top-Down2021.0173.7—————
RMPEInput Size=320×256, Params (M)=28.1, GFLOPS=26.72021.0372.389.279.16878.6—
AlphaPose+Backbone=ResNet101, Detector=YOLO-v3, Paradigm=Top-Down2021.0172.2—————
CPNInput Size=384x2882021.0372.191.48068.777.278.5
JC-SPPEBackbone=ResNet101, Detector=YOLO-v3, Paradigm=Top-Down2021.0170.9—————
HghrHRNetParadigm=Bottom-Up, Multi-scale=x2, x1, x0.52021.0170.5—————
HghrHRNet+UDPParadigm=Bottom-Up, Multi-scale=x2, x1, x0.52021.0170.5—————
AlphaPoseBackbone=ResNet101, Detector=YOLO-v3, Paradigm=Top-Down2021.0170.1—————
IPRInput Size=256x256, Params (M)=45.1, GFLOPS=112021.0367.888.274.863.974—
HGGParadigm=Bottom-Up, Multi-scale=x2, x1, x0.52021.0167.6—————
AEParadigm=Bottom-Up, Multi-scale=x2, x1, x0.52021.0165.5—————
G-RMIInput Size=256x256, Params (M)=42.6, GFLOPS=572021.0364.985.571.362.37069.7
MaskRCNNBackbone=ResNet101, Detector=YOLO-v3, Paradigm=Top-Down2021.0164.8—————
MBV3-LBackbone=MBV3-L, MAdds(M)=523.6, Params(M)=3.7, Input image size=256x192, Base Model=SimplePose2021.0463.788.970.8———
AsymmNet-LBackbone=AsymmNet-L, MAdds(M)=523.9, Params(M)=4.3, Input image size=256x192, Base Model=SimplePose2021.0463.588.970.9———
Mask-RCNN2021.0363.187.368.757.871.4—
CMU Pose2021.0361.884.957.167.568.266.5
AsymmNet-sBackbone=AsymmNet-s, MAdds(M)=310.7, Params(M)=1.7, Input image size=256x192, Base Model=SimplePose2021.0454.484.459.7———
MBV3-sBackbone=MBV3-s, MAdds(M)=309.7, Params(M)=1.6, Input image size=256x192, Base Model=SimplePose2021.0454.383.759.4———