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Human Pose Estimation on J-HMDB sub

99.9Head AccuracyDeciWatch
45.359.47573.6587.825Mar 13, 2016Sep 2, 2017Feb 22, 2019Aug 13, 2020Feb 2, 2022Jul 25, 2023Jan 14, 2025

Evaluation results

MethodLinks
DeciWatch2025.0199.999.899.699.798.699.696.6——98.9——————————
PoseidonFine-tuning=false, Trained on=PoseTrack212025.0199.59995.993.398.598.396.5——97.3——————————
FAMI-PoseBackbone=HRNet-W482022.0399.398.694.591.799.291.895.4——96——————————
CPM2017.1298.494.785.581.797.994.990.3——91.9——————————
CPM2022.0398.494.785.581.797.994.990.3——91.9——————————
DKDNormalization=Person Size, Backbone=ResNet502019.0898.396.690.487.199.19692.9———94—————————
DKDBackbone=ResNet-502022.0398.396.690.487.199.19692.9——94——————————
DKD2025.0198.396.690.487.199.19692.9——94——————————
LSTM PMLSTM module=Yes2017.1298.296.589.68698.795.690.9——93.6——————————
Luo et al.Normalization=Person Size2019.0898.296.589.68698.795.690.9———93.6—————————
LSTM PM2022.0398.296.589.68698.795.690——93.6——————————
MotionAdaptive2022.0398.297.491.785.299.296.792.2——94.7——————————
LSTM PM2025.0198.296.589.68698.795.690——93.6——————————
Motion Adaptive2025.0198.297.491.785.299.296.792.2——94.7——————————
RPMLSTM module=No2017.129895.586.982.997.994.989.7——92.2——————————
SimplePose2025.0197.597.891.18699.696.892.6——94.4——————————
baselineDescription=author's own baseline2017.0397.282.265.266.596.384.476.8——82.3——————————
ST-inferinference_mode=spatio-temporal2017.0397.195.787.581.69892.789.8——92.1——————————
Thin-Slicing Net2017.1297.195.787.581.69892.789.8——92.1——————————
Song et al.Normalization=Person Size2019.0897.195.787.581.69892.789.8———92.1—————————
Thin-slicing Net2022.0397.195.787.581.69892.789.8——92.1——————————
Thin-slicing Net2025.0197.195.787.581.69892.789.8——92.1——————————
S-inferinference_mode=spatial2017.039787.374.971.197.589.486——86.9——————————
K-FPNBackbone=ResNet-502022.0395.196.495.391.396.395.692.6——94.7——————————
K-FPN2025.0195.196.495.391.396.395.692.6——94.7——————————
K-FPNBackbone=ResNet-182022.0394.796.395.290.296.495.593.2——94.5——————————
DKDNormalization=Torso Size, Backbone=ResNet502019.0894.478.969.867.681.87978.8———77.4—————————
Luo et al.Normalization=Torso Size2019.0892.775.666.864.87873.173.3———73.6—————————
ACPSunary_term=Cond(5) + AS, binary_term=Cond(5), features=CCF2016.0390.376.959.35585.976.47373.851.6———————————
[12]2017.0390.376.959.35585.976.473——73.8——————————
[11]2017.1290.376.959.35585.976.473——73.8——————————
Iqal et al.Normalization=Person Size2019.0890.376.959.35585.976.473———73.8—————————
Pose-Action2022.0390.376.959.35585.976.473——73.8——————————
ACPSunary_term=Cond. (PA) + AS, binary_term=Cond(5), features=CCF2016.0390.176.759.254.785.676.272.973.651.2———————————
Baseline (Indep)unary_term=Indep., binary_term=Indep., features=CCF2016.0388.176.35749.28575.471.771.848.7———————————
Joint Action2022.0383.363.533.821.676.362.753.1——55.7——————————
Nie et al.reference=[15]2016.0380.363.532.521.676.362.753.155.7————————————
[36]2017.0380.363.532.521.676.362.753.1——55.7——————————
[24]2017.1280.363.532.521.676.362.753.1——55.7——————————
Nie et al.Normalization=Person Size2019.0880.363.532.521.676.362.753.1———55.7—————————
Park & Ramananreference=[16]2016.037960.328.71674.859.249.352.5————————————
[19]2017.037960.328.71674.859.249.3——52.5——————————
N-Best2017.127960.328.71674.859.249.3——52.5——————————
Park et al.Normalization=Person Size2019.087960.328.71674.859.249.3———52.5—————————
Part Models2022.037960.328.71674.859.249.3——52.5——————————
Chen & Yuillereference=[1]2016.0378.768.448.339.776.366.360.362.642.2———————————
Yang & Ramananreference=[38]2016.0373.857.530.722.169.958.248.951.6————————————
Indep. U. & Indep. B.reference=[5]2016.0365.656.439.131.165.262.860.954.434.4———————————
Cherian et al.reference=[2]2016.0347.418.20.080.07———16.4————————————
DKD2022.11———————————98.396.690.487.199.19692.994—
KFPBackbone=ResNet182022.11———————————94.796.395.290.296.495.593.294.5—
SimpleBaseline2022.11————————81.3——97.597.891.18699.696.892.694.456.9
SimpleBaseline + DeciWatch2022.11————————94.1——99.899.599.799.798.799.496.598.879.4
SimpleBaseline + HANet2022.11————————98.3——99.999.799.799.799.299.998.899.691.9