Research map / 3D vision / 3D generation
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add multi-view RGB features to geometry features, using 5 views (ablation) | 3D-SIS · ScanNetV2 | mAP@0.5: 16.0 -> 22.5 | Helped |
| increase the number of RGB views used with geometry from 1 to 5 (ablation) | 3D-SIS · ScanNetV2 | 3D detection mAP@0.25: 35.1 -> 40.2 | Helped |
| increase the number of RGB views used with geometry from 1 to 5 (ablation) | 3D-SIS · SUNCG | 3D detection mAP@0.25: 30.9 -> 32.2 | Helped |
| use 5 color views rather than geometry only (ablation) | 3D-SIS · SUNCG | instance segmentation mAP@0.25: 26.8 -> 30.6 | Helped |
| use 5 color views rather than geometry only (ablation) | 3D-SIS · ScanNetV2 | instance segmentation mAP@0.25: 28.3 -> 35.7 | Helped |
| replace the two-level anchor design with one anchor layer (ablation) | 3D-SIS · ScanNetV2 | mAP@0.5: 22.5 -> 12.2 | Hurt |
| train on color-only input with 5 views instead of geometry-only input (ablation) | 3D-SIS · ScanNetV2 | mAP@0.5: 16.0 -> 17.4 | Helped |
Closest papers by meaning
- DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation (ICLR 2024 · similarity 0.89)
- Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior (CVPR 2024 · similarity 0.88)
- ODIN: A Single Model for 2D and 3D Segmentation (CVPR 2024 · similarity 0.88)
- SAI3D: Segment Any Instance in 3D Scenes (CVPR 2024 · similarity 0.88)
- Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance (CVPR 2024 · similarity 0.88)
- Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation (ICLR 2025 · similarity 0.88)
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