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Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning

ICLR 2023 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised detection · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add CLIP-based HOI recognition to the CLIP RN50 pairwise baseline (ablation)Weakly-supervised HOI detection · HICO-DETFull mAP: 19.52 to 20.31Helped
Freeze the HOI knowledge bank instead of jointly learning it (ablation)HOI recognition model · HICO-DETFull mAP: 20.31 to 20.09Hurt
Add KTN using the HOI knowledge bank (ablation)HOI recognition model · HICO-DETFull mAP: +0.55 Full mAPHelped
Fuse global HOI scores with pairwise interaction scores (ablation)HOI recognition and KTN model · HICO-DETFull mAP: 20.86 to 22.40Helped
Add self-taught relatedness classification (ablation)HOI recognition, KTN, and score-fusion model · HICO-DETFull mAP: 22.40 to 22.89Helped
Add SRC to the baseline without HOI knowledge (ablation)Weakly-supervised HOI detection · HICO-DETFull mAP: 19.52 to 19.88Helped
Add KTN to the model with SRC (ablation)HOI recognition and SRC model · HICO-DETFull mAP: 21.53 to 20.75Helped
Replace CLIP visual initialization with COCO detection-trained RN50-FPN (ablation)Weakly-supervised HOI detection · HICO-DETFull mAP: 19.44 vs 22.89Hurt
Replace the CLIP text knowledge bank with random initialization (ablation)Full model with COCO RN50-FPN · HICO-DETRare mAP: 16.20 to 15.57Hurt
Add CLIP inference scores to the COCO RN50-FPN baseline (ablation)Weakly-supervised HOI detection · HICO-DETFull mAP: 19.44 to 20.56Helped
Apply HOI-prompt classifier initialization and CLIP visual regularization (ablation)COCO RN50-FPN baseline · HICO-DETFull mAP: 19.44 to 19.39Hurt
Use union-region visual features instead of KTN knowledge-bank attention (ablation)HOI recognition and SRC model · HICO-DETFull mAP: 20.75 to 20.69Hurt

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