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Detecting Human-Object Contact in Images

CVPR 2023 · 3D vision › Human pose estimation · approach: Physics and sensor-based motion capture · 35 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the body-part attention branch (ablation)HOT contact detector · HOT-AnnotatedSC-Acc.: 24.1 -> 40.7Helped
Add the body-part attention branch (ablation)HOT contact detector · HOT-GeneratedSC-Acc.: 12.0 -> 30.4Helped
Add the body-part attention branch (ablation)HOT contact detector · HOT Full SetSC-Acc.: 19.4 -> 36.4Helped
Add human-part supervision to the attention branch during early training (ablation)HOT contact detector · HOT-AnnotatedSC-Acc.: 33.8 -> 40.7Helped
Add human-part supervision to the attention branch during early training (ablation)HOT contact detector · HOT-GeneratedSC-Acc.: 20.3 -> 30.4Helped
Add human-part supervision to the attention branch during early training (ablation)HOT contact detector · HOT Full SetSC-Acc.: 30.4 -> 36.4Helped
Train using HOT-Annotated instead of HOT-GeneratedHOT contact detector · HOT-Generated testSC-Acc.: 21.1 -> 28.4Helped
Train using HOT-Generated instead of HOT-AnnotatedHOT contact detector · HOT-Annotated testSC-Acc.: 40.7 -> 2.46Hurt
Combine HOT-Generated with HOT-Annotated training dataHOT contact detector · HOT-Generated testSC-Acc.: 30.4 -> 34.3Helped
Combine HOT-Generated with HOT-Annotated training dataHOT contact detector · HOT-Annotated testSC-Acc.: 40.7 -> 47.4Helped
Use HOT-pGT in addition to RICH training dataBSTRO 3D contact estimator · HOTf1: 0.231 -> 0.636Helped
Use HOT-pGT in addition to RICH training dataBSTRO 3D contact estimator · RICHf1: 0.708 -> 0.684Hurt

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