Research map / Detection and segmentation / Open-set and few-shot detection
FocusCut: Diving Into a Focus View in Interactive Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add click-centered focus-view refinement after global prediction (ablation) | Interactive segmentation with ResNet-101 · Berkeley | NoC@90: 4.280 -> 3.350 | Helped |
| Add click-centered focus-view refinement after global prediction (ablation) | Interactive segmentation with ResNet-101 · DAVIS | NoC@90: 7.713 -> 6.475 | Helped |
| Add progressive focus strategy to the global and focus views (ablation) | FocusCut with ResNet-101 · Berkeley | NoC@90: 3.350 -> 3.010 | Helped |
| Add progressive focus strategy to the global and focus views (ablation) | FocusCut with ResNet-101 · DAVIS | NoC@90: 6.475 -> 6.223 | Helped |
| Use iterative prediction to update the next focus patch (ablation) | FocusCut with ResNet-101 · Berkeley | NoC@90: 3.11 -> 3.01 | Helped |
| Use iterative prediction to update the next focus patch (ablation) | FocusCut with ResNet-101 · DAVIS | NoC@90: 6.38 -> 6.22 | Helped |
| Use the fast version with fixed focus-scope reduction instead of standard iterative focus | FocusCut with ResNet-101 · GrabCut | NoC@90: 1.64 -> 1.68 | Hurt |
| Use click-centered focus refinement rather than global view alone (ablation) | Interactive segmentation with ResNet-50 · Berkeley | BIoU&5: 0.785 -> 0.793 | Helped |
| Use click-centered focus refinement rather than global view alone (ablation) | Interactive segmentation with ResNet-50 · DAVIS | ASSD&5: 9.711 -> 9.424 | Helped |
Closest papers by meaning
- NTClick: Achieving Precise Interactive Segmentation With Noise-tolerant Clicks (CVPR 2025 · similarity 0.90)
- Order-aware Interactive Segmentation (ICLR 2025 · similarity 0.89)
- FocSAM: Delving Deeply into Focused Objects in Segmenting Anything (CVPR 2024 · similarity 0.89)
- TETRIS: Towards Exploring the Robustness of Interactive Segmentation (AAAI 2024 · similarity 0.88)
- FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation (NeurIPS 2025 · similarity 0.88)
- RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation (NeurIPS 2024 · similarity 0.88)
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