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Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection

CVPR 2020 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised detection · 220 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add MIST pseudo-box selection with spatial diversity and instance-associative constraints (ablation)WSOD baseline · PASCAL VOC 2007 testAP50: 42.5 -> 48.3Helped
Add ROI regression to MIST (ablation)MIST WSOD · PASCAL VOC 2007 testAP50: 48.3 -> 51.4Helped
Add learnable Concrete DropBlock (ablation)MIST WSOD · PASCAL VOC 2007 testAP50: 51.4 -> 54.9Helped
Use image-level spatial dropout instead of Concrete DropBlock (ablation)MIST WSOD · PASCAL VOC 2007 testAP50: 54.9 -> 51.1Hurt
Use independent spatial dropout on each ROI instead of Concrete DropBlock (ablation)MIST WSOD · PASCAL VOC 2007 testAP50: 54.9 -> 52.4Hurt
Use non-parametric DropBlock instead of Concrete DropBlock (ablation)MIST WSOD · PASCAL VOC 2007 testAP50: 54.9 -> 52.9Hurt
Add MIST (ablation)WSOD baseline · PASCAL VOC 2007AR100: 32.5 -> 43.9Helped
Train with the larger VOC 2007+2012 dataset rather than VOC 2007 aloneOurs · PASCAL VOC 2007 testAP50: 54.9 -> 58.1Helped
Train on VOC 2012 rather than VOC 2007Ours · PASCAL VOC 2007 testAP50: 54.9 -> 56.3Helped
Add optical flowVideo WSOD · ImageNet VIDDet. (AP): 45.7 -> 46.9Helped

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