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Human Pose Estimation on MPII (val)

94.2PCKh (Mean)ViTPose++-H
88.16889.73491.392.866Dec 7, 2022

Evaluation results

MethodLinks
ViTPose++-HBackbone=ViT-H, Resolution=256x1922022.1294.2——————97.897.694.491.593.292.890.2——
ViTPose++-LBackbone=ViT-L, Resolution=256x1922022.1294——————9897.694.390.992.992.689.5——
ViTPose-HBackbone=ViT-H, Resolution=256x1922022.1293——————97.797.193.289.691.891.288.1——
ViTPose-LBackbone=ViT-L, Resolution=256x1922022.1292.8——————97.797.292.989.292.390.887.4——
ViTPose++-BBackbone=ViT-B, Resolution=256x1922022.1292.8——————97.397.293.389.791.590.787.2——
ViTPose++-SBackbone=ViT-S, Resolution=256x1922022.1292.7——————97.497.292.98992.390.486.8——
TransPose-H-A6Backbone=HRNet-w48, Resolution=256x2562022.1292.3———————————————
ASDABackbone=HRNet-w48, Resolution=256x2562022.1291.4——————97.396.591.787.990.888.284.2——
ViTPose-BBackbone=ViT-B, Resolution=256x1922022.1290.9——————9796.290.786.790.488.284.2——
OKDHPBackbone=8-Stack Hourglass, Resolution=256x2562022.1290.6——————97.396.191.286.889.986.983.1——
HRFormerBackbone=HRFormer-B, Resolution=256x2562022.1290.4——————96.896.190.485.98987.384.1——
HRNetBackbone=HRNet-w48, Resolution=256x2562022.1290.1——————97.195.890.785.68986.882.1——
CFABackbone=ResNet-101, Resolution=384x3842022.1290.1——————95.995.49186.989.887.683.9——
HRNetBackbone=HRNet-w32, Resolution=256x2562022.1290——————96.995.990.585.989.186.182.5——
HRFormerBackbone=HRFormer-S, Resolution=256x2562022.1289.9——————97.195.890.585.988.785.782.1——
SimpleBaselineBackbone=ResNet-152, Resolution=256x2562022.1289——————86.995.489.4848884.682.1——
ViTPose-SBackbone=ViT-S, Resolution=256x1922022.1288.4——————96.494.788.183.288.484.380——
Dite-HRNet-18#Params (M)=1.1, GFLOPs=0.22022.04——————————————87—
Dite-HRNet-30#Params (M)=1.8, GFLOPs=0.42022.04——————————————87.6—
Lite-HRNet-18#Params (M)=1.1, GFLOPs=0.22022.04——————————————86.1—
Lite-HRNet-30#Params (M)=1.8, GFLOPs=0.42022.04——————————————87—
MobileNetV2 1x#Params (M)=9.6, GFLOPs=1.92022.04——————————————85.4—
MobileNetV3 1x#Params (M)=8.7, GFLOPs=1.82022.04——————————————84.3—
PoseBHGFLOPS=18.5, Backbone=ViT-Base, Input Resolution=256x1922025.05———————————————93.2
RLEbaseline=Regression-based2023.11—86.232.975.478.83.351.76—————————
RLE + CCNetbaseline=Regression-based, CCNet=true2023.11———76.6—2.981.49—————————
SBLbaseline=Heatmap-based2023.11—88.533.977.380.53.92.36—————————
SBL + CCNetbaseline=Heatmap-based, CCNet=true2023.11———77.7—3.521.95—————————
ShuffleNetV2 1x#Params (M)=7.6, GFLOPs=1.72022.04——————————————82.8—
Small HRNet#Params (M)=1.3, GFLOPs=0.72022.04——————————————80.2—
UniHCPGFLOPS=18.9, Backbone=ViT-Base, Input Resolution=256x1922025.05———————————————90.9
ViTPose++GFLOPS=18.5, Backbone=ViT-Base, Input Resolution=256x1922025.05———————————————93.1