Research map / Detection and segmentation / Weakly supervised detection and segmentation
Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add SD-CAM to introduce global class-token information (ablation) | TokenCut-based localization · CUB-200-2011 | GT(0.5): 90.7 -> 90.7 | No clear effect |
| Add SD-CAM to introduce global class-token information (ablation) | TokenCut-based localization · ILSVRC | GT(0.5): 67.7 -> 70.0 | Helped |
| Add ARM to refine activation maps using image appearance and pixel position (ablation) | TokenCut-based localization · CUB-200-2011 | GT(0.5): 90.7 -> 94.4 | Helped |
| Add SGRM to re-predict pixel masks using superpixel consistency (ablation) | TokenCut-based localization · CUB-200-2011 | GT(0.5): 90.7 -> 95.0 | Helped |
| Combine SD-CAM, ARM, and SGRM (ablation) | TokenCut-based localization · CUB-200-2011 | GT(0.5): 90.7 -> 95.9 | Helped |
| Combine SD-CAM, ARM, and SGRM (ablation) | TokenCut-based localization · ILSVRC | GT(0.5): 67.7 -> 70.7 | Helped |
Closest papers by meaning
- CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping (CVPR 2022 · similarity 0.90)
- Bridging the Gap Between Classification and Localization for Weakly Supervised Object Localization (CVPR 2022 · similarity 0.89)
- Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization (CVPR 2021 · similarity 0.89)
- Learning to Localize Objects with Noisy Labeled Instances (AAAI 2019 · similarity 0.89)
- Shallow Feature Matters for Weakly Supervised Object Localization (CVPR 2021 · similarity 0.89)
- Rethinking the Route Towards Weakly Supervised Object Localization (CVPR 2020 · similarity 0.88)
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