Research map / Detection and segmentation / Open-set and few-shot detection
Object Co-Segmentation via Graph Optimized-Flexible Manifold Ranking
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use the proposed two-stage GO-FMR co-segmentation framework instead of the strongest reported baseline | object co-segmentation · iCoseg | Jaccard index: 0.73 -> 0.76 | Helped |
| use the proposed two-stage GO-FMR co-segmentation framework instead of the strongest reported baseline | object co-segmentation · sub-iCoseg | Jaccard index: 0.79 -> 0.82 | Helped |
| use the proposed two-stage GO-FMR co-segmentation framework instead of the strongest reported baseline | object co-segmentation · Internet car, horse, and airplane | Jaccard index: 64.8 -> 66.8; 51.6 -> 58.1; 55.8 -> 56.3 | Helped |
| use the proposed two-stage GO-FMR co-segmentation framework instead of [2] | object co-segmentation · PASCAL-VOC | Jaccard index: 0.46 -> 0.52 | Helped |
| combine low-level appearance and high-level semantic features (ablation) | two-stage GO-FMR co-segmentation · PASCAL-VOC | Jaccard index: 0.45 -> 0.52; 0.49 -> 0.52 | Helped |
| add graph optimization (ablation) | two-stage GO-FMR co-segmentation · PASCAL-VOC | Jaccard index: 0.45 -> 0.52 | Helped |
| use GO-FMR instead of conventional manifold ranking (ablation) | two-stage co-segmentation · PASCAL-VOC | Jaccard index: 0.41 -> 0.52 | Helped |
Closest papers by meaning
- Object Co-Skeletonization With Co-Segmentation (CVPR 2017 · similarity 0.86)
- Deep Object Co-Segmentation via Spatial-Semantic Network Modulation (AAAI 2020 · similarity 0.85)
- Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation (CVPR 2024 · similarity 0.85)
- Multi-Part Object Representations via Graph Structures and Co-Part Discovery (NeurIPS 2026 · similarity 0.84)
- Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation (ICLR 2025 · similarity 0.84)
- unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning (ICML 2025 · similarity 0.83)
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