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Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add multi-scale label-smoothing refinement (ablation) | Mask-guided FCN · iCoseg, MSRC, and Cosal2015 | AP: iCoseg: 0.8395 -> 0.9057; MSRC: 0.8686 -> 0.9096; Cosal2015: 0.8372 -> 0.8527 | Helped |
| Add pool3 masking (ablation) | Mask-guided FCN · iCoseg, MSRC, and Cosal2015 | AP: iCoseg: 0.8959 -> 0.9057; MSRC: 0.8875 -> 0.9096; Cosal2015: 0.8297 -> 0.8527 | Helped |
| Add pool5 masking (ablation) | Mask-guided FCN · iCoseg, MSRC, and Cosal2015 | AP: iCoseg: 0.9007 -> 0.9057; MSRC: 0.8922 -> 0.9096; Cosal2015: 0.8335 -> 0.8527 | Helped |
Closest papers by meaning
- Robust Deep Co-Saliency Detection with Group Semantic (AAAI 2019 · similarity 0.90)
- Multi-scale Graph Fusion for Co-saliency Detection (AAAI 2021 · similarity 0.90)
- TF-SSD: A Strong Pipeline via Synergic Mask Filter for Training-free Co-salient Object Detection (CVPR 2026 · similarity 0.90)
- ICNet: Intra-saliency Correlation Network for Co-Saliency Detection (NeurIPS 2020 · similarity 0.89)
- Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection (CVPR 2023 · similarity 0.89)
- Unsupervised Salient Instance Detection (CVPR 2024 · similarity 0.86)
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