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GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates

AAAI 2021 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised detection · 20 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add GradingNet to C-MILC-MIL · PASCAL VOC 2007 testmAP: 50.5 -> 54.3Helped
Add GradingNet to C-MILC-MIL · COCO 2014 validationAPHelped
Use BGM rather than TS as the proposal-selection neck (ablation)OICR with Fast R-CNN body on COCO 2014 · COCO 2014 validationAP: 7.5 -> 8.3Helped
Use BGM rather than PGE as the proposal-selection neck (ablation)OICR with Fast R-CNN body on COCO 2014 · COCO 2014 validationAP: 7.7 -> 8.3Helped
Use BGM rather than the original weakly supervised method alone (ablation)OICR on COCO 2014 · COCO 2014 validationAP: +0.6% APHelped
Use BGM rather than the original weakly supervised method alone (ablation)PCL on COCO 2014 · COCO 2014 validationAP: +0.9% APHelped
Replace Fast R-CNN with IBM as the detector body (ablation)GradingNet on COCO 2014 · COCO 2014 validationAPHelped
Use predicted anchoring and area-balanced sampling (ablation)IBM proposal generation on PASCAL VOC 2007 · PASCAL VOC 2007 testproposal recallHelped

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