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Research map / Detection and segmentation / Open-set and few-shot detection

Human-Object Interaction Detection via Disentangled Transformer

CVPR 2022 · Detection and segmentation › Open-set and few-shot detection · approach: Human-object interaction detection · 65 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use disentangled human-object pair and interaction prediction with unified HOI featuresDisTR · V-COCO test, Scenario #1mAP: 58.8 -> 66.2Helped
use disentangled human-object pair and interaction prediction with unified HOI featuresDisTR · HICO-DET test, Default FullmAP: 29.90 -> 31.75Helped
add encoder disentanglement for the different prediction tasks (ablation)DisTR · V-COCO test, Scenario #1mAP: 65.5 -> 66.2Helped
add encoder disentanglement for the different prediction tasks (ablation)DisTR · HICO-DET test, Default FullmAP: 30.79 -> 31.75Helped
add attentional fusion between the instance and interaction decoders (ablation)DisTR · V-COCO test, Scenario #1mAP: 64.4 -> 66.2Helped
add attentional fusion between the instance and interaction decoders (ablation)DisTR · HICO-DET test, Default FullmAP: 31.24 -> 31.75Helped
add decoder disentanglement and predict interactive human-object pairs (ablation)DisTR · V-COCO test, Scenario #1mAP: 58.8 -> 66.2Helped
add decoder disentanglement and predict interactive human-object pairs (ablation)DisTR · HICO-DET test, Default FullmAP: 29.07 -> 31.75Helped
replace unified feature representation with learnable unified HOI queries (ablation)DisTR · V-COCO test, Scenario #1mAP: 66.2 -> 64.9Hurt
replace unified feature representation with learnable unified HOI queries (ablation)DisTR · HICO-DET test, Default FullmAP: 31.75 -> 31.09Hurt
add warmup that initially freezes pretrained parameters (ablation)DisTR · V-COCO test, Scenario #1mAP: 65.7 -> 66.2Helped
add warmup that initially freezes pretrained parameters (ablation)DisTR · HICO-DET test, Default FullmAP: 31.49 -> 31.75Helped

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