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Adversarial Complementary Learning for Weakly Supervised Object Localization

CVPR 2018 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised object localization · 603 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use two jointly trained classifiers, with Classifier A erasing its discriminative feature regions to guide Classifier BACoL · ILSVRC 2016 valTop-1 localization error: 56.40 -> 54.17Helped
Use two jointly trained classifiers, with Classifier A erasing its discriminative feature regions to guide Classifier BACoL · ILSVRC 2016 valTop-1 localization error: 54.53 -> 53.28Helped
Use two jointly trained classifiers, with Classifier A erasing its discriminative feature regions to guide Classifier BACoL · CUB-200-2011 testTop-1 localization error: 59.00 -> 54.08Helped
Add the third classifier, guided by the fused maps from the first two (ablation)ACoL · ILSVRC 2016 vallocalization performanceNo clear effect
Set the erasing threshold to 0.6 rather than the other tested values (ablation)ACoL · ILSVRC 2016 valTop-1 localization error: 62.62; 54.17; 54.55; 56.61; 55.72Mixed
Set the erasing threshold to 0.6 rather than the other tested values (ablation)ACoL · ILSVRC 2016 valTop-5 localization error: 52.03; 40.57; 42.53; 45.45; 44.42Helped
Vary the erasing threshold (ablation)ACoL · CUB-200-2011 testTop-1 localization error: 58.34; 54.15; 54.08; 55.78; 55.22Mixed
Vary the erasing threshold (ablation)ACoL · CUB-200-2011 testTop-5 localization error: 48.11; 42.79; 43.49; 45.17; 45.76Mixed
Use only predictions with high scores for Top-5 localization (ablation)VGGnet-ACoL · CUB-200-2011 testTop-5 localization error: 43.49 -> 39.05Helped
Use DPN ensemble classification results for localizationVGGnet-ACoL · ILSVRC 2016 valTop-1 localization error: 49.82/26.22; 49.26/24.90; 48.96/24.39; 46.30/17.70; 46.16/17.42; 46.06/17.08; 45.14/15.47Helped

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