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Research map / Detection and segmentation / Weakly supervised detection and segmentation

Activity Driven Weakly Supervised Object Detection

CVPR 2019 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised detection · 30 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the full action-driven detector instead of PCLCharades detection · CharadesmAP (%): 2.83 -> 8.76Helped
Use the full action-driven detector instead of PCLEPIC KITCHENS detection · EPIC KITCHENSmAP: 4.68 -> 9.75Helped
Use the full action-driven detector instead of PCL + priorHICO-DET detection · HICO-DETmAP (%): 4.19 -> 5.39Helped
Add a learned normal spatial prior to the center-prior variant (ablation)Charades detector · CharadesmAP: 3.43 -> 8.76Helped
Learn both mean and variance rather than mean only (ablation)Charades detector · CharadesmAP: 6.27 -> 8.76Helped
Learn both mean and variance rather than variance only (ablation)Charades detector · CharadesmAP: 4.86 -> 8.76Helped
Add object classification loss to action classification loss (ablation)Charades detector · CharadesmAP: 2.61 -> 8.76Helped
Add action classification loss to object classification loss (ablation)Charades detector · CharadesmAP: 5.86 -> 8.76Helped
Add spatial prior module (ablation)Ours-VGG-16 · CharadesmAP (%): 3.60 -> 8.76Helped
Add spatial prior module (ablation)Ours-VGG-16 · HICO-DETmAP (%): 3.16 -> 5.39Helped
Use ResNet-101 rather than VGG-16 as the backboneProposed detector · CharadesmAP (%): 8.76 -> 10.03Helped

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