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

Instance Mining with Class Feature Banks for Weakly Supervised Object Detection

AAAI 2021 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised detection · 41 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add FGIM to MIL (ablation)WSOD detector · PASCAL VOC 2007mAP (%): 34.8 -> 38.0Helped
Add OIR to MIL (ablation)WSOD detector · PASCAL VOC 2007mAP (%): 34.8 -> 52.1Helped
Add FGIM to MIL + OIR (ablation)WSOD detector · PASCAL VOC 2007mAP (%): 52.1 -> 54.3Helped
Use FIFO instead of weighting for CFB updates (ablation)IM-CFB · PASCAL VOC 2007mAP (%): 54.3 -> 52.6Hurt
Use CFB weighting updates rather than no CFB (ablation)MIL + OIR · PASCAL VOC 2007mAP (%): 52.1 -> 54.3Helped
Set CFB sub-bank length K to 2 (ablation)IM-CFB · PASCAL VOC 2007mAP (%): 54.3 -> 51.5Hurt
Set CFB sub-bank length K to 4 (ablation)IM-CFB · PASCAL VOC 2007mAP (%): 54.3 -> 52.7Hurt
Set CFB sub-bank length K to 8 (ablation)IM-CFB · PASCAL VOC 2007mAP (%): 54.3 -> 53.1Hurt
Set CFB sub-bank length K to 10 (ablation)IM-CFB · PASCAL VOC 2007mAP (%): 54.3 -> 52.3Hurt
Set CFB sub-bank length K to 20 (ablation)IM-CFB · PASCAL VOC 2007mAP (%): 54.3 -> 51.3Hurt
Use IM-CFB rather than SLVWSOD detector · PASCAL VOC 2007 testmAP (%): 53.5 -> 54.3Helped
Use IM-CFB rather than SLVWSOD detector · PASCAL VOC 2007 trainvalCorLoc (%): 71.0 -> 70.7Hurt

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