Research map / Detection and segmentation / Open-set and few-shot detection
Interactive Segmentation on RGBD Images via Cue Selection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use local cue selection with color, depth, and normals rather than RGBD Linear Comb | interactive RGBD segmentation · Saliency | IoU: 0.85 -> 0.87 | Helped |
| use local cue selection with color, depth, and normals rather than RGBD Linear Comb | interactive RGBD segmentation · B3D | IoU: 0.77 -> 0.81 | Helped |
| use local cue selection with color, depth, and normals rather than RGBD Linear Comb | interactive RGBD segmentation · NYU2 | IoU: 0.74 -> 0.78 | Helped |
| use local cue selection with color, depth, and normals rather than RGBD Linear Comb | interactive RGBD segmentation · Aligned KV2 | IoU: 0.66 -> 0.73 | Helped |
| use local cue selection with color, depth, and normals rather than RGBD Linear Comb | interactive RGBD segmentation · KV2data | IoU: 0.59 -> 0.68 | Helped |
| add the normal cue (ablation) | Ours: Color+Depth · Saliency | IoU: 0.87 -> 0.87 | No clear effect |
| add the normal cue (ablation) | Ours: Color+Depth · B3D | IoU: 0.82 -> 0.81 | Hurt |
| add the normal cue (ablation) | Ours: Color+Depth · NYU2 | IoU: 0.77 -> 0.78 | Helped |
| add the normal cue (ablation) | Ours: Color+Depth · Aligned KV2 | IoU: 0.72 -> 0.73 | Helped |
| add the normal cue (ablation) | Ours: Color+Depth · KV2data | IoU: 0.66 -> 0.68 | Helped |
Closest papers by meaning
- Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts (CVPR 2024 · similarity 0.86)
- Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation (AAAI 2025 · similarity 0.86)
- DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation (ICLR 2024 · similarity 0.85)
- GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting (NeurIPS 2024 · similarity 0.85)
- Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation (AAAI 2024 · similarity 0.85)
- TETRIS: Towards Exploring the Robustness of Interactive Segmentation (AAAI 2024 · similarity 0.85)
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