Research map / Detection and segmentation / Weakly supervised detection and segmentation
Adversarial Complementary Learning for Weakly Supervised Object Localization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use two jointly trained classifiers, with Classifier A erasing its discriminative feature regions to guide Classifier B | ACoL · ILSVRC 2016 val | Top-1 localization error: 56.40 -> 54.17 | Helped |
| Use two jointly trained classifiers, with Classifier A erasing its discriminative feature regions to guide Classifier B | ACoL · ILSVRC 2016 val | Top-1 localization error: 54.53 -> 53.28 | Helped |
| Use two jointly trained classifiers, with Classifier A erasing its discriminative feature regions to guide Classifier B | ACoL · CUB-200-2011 test | Top-1 localization error: 59.00 -> 54.08 | Helped |
| Add the third classifier, guided by the fused maps from the first two (ablation) | ACoL · ILSVRC 2016 val | localization performance | No clear effect |
| Set the erasing threshold to 0.6 rather than the other tested values (ablation) | ACoL · ILSVRC 2016 val | Top-1 localization error: 62.62; 54.17; 54.55; 56.61; 55.72 | Mixed |
| Set the erasing threshold to 0.6 rather than the other tested values (ablation) | ACoL · ILSVRC 2016 val | Top-5 localization error: 52.03; 40.57; 42.53; 45.45; 44.42 | Helped |
| Vary the erasing threshold (ablation) | ACoL · CUB-200-2011 test | Top-1 localization error: 58.34; 54.15; 54.08; 55.78; 55.22 | Mixed |
| Vary the erasing threshold (ablation) | ACoL · CUB-200-2011 test | Top-5 localization error: 48.11; 42.79; 43.49; 45.17; 45.76 | Mixed |
| Use only predictions with high scores for Top-5 localization (ablation) | VGGnet-ACoL · CUB-200-2011 test | Top-5 localization error: 43.49 -> 39.05 | Helped |
| Use DPN ensemble classification results for localization | VGGnet-ACoL · ILSVRC 2016 val | Top-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; 45.14/15.47 | Helped |
Closest papers by meaning
- Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization (CVPR 2020 · similarity 0.92)
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- Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization (CVPR 2021 · similarity 0.87)
- Rethinking the Route Towards Weakly Supervised Object Localization (CVPR 2020 · similarity 0.86)
- Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up (CVPR 2019 · similarity 0.86)
- LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization (AAAI 2022 · similarity 0.86)
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