Research map / Point clouds / Point cloud classification
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace FLOT with SCTN | Scene flow estimation · FlyingThings3D | EPE3D (m): 0.052 -> 0.038 | Helped |
| Replace FLOT with SCTN | Scene flow estimation · KITTI | EPE3D (m): 0.056 -> 0.037 | Helped |
| Add PTFE to VIFE (ablation) | SCTN · KITTI | EPE3D (m): 0.045 -> 0.040 | Helped |
| Add PTFE to VIFE (ablation) | SCTN · KITTI | Acc3DS: 0.835 -> 0.863 | Helped |
| Add FSC loss to VIFE (ablation) | SCTN · KITTI | EPE3D (m): 0.045 -> 0.042 | Helped |
| Add FSC loss to VIFE (ablation) | SCTN · KITTI | Acc3DS: 0.835 -> 0.853 | Helped |
| Add FSC loss to VIFE + PTFE (ablation) | SCTN · KITTI | EPE3D (m): 0.040 -> 0.037 | Helped |
| Add FSC loss to VIFE + PTFE (ablation) | SCTN · KITTI | Acc3DS: 0.863 -> 0.873 | Helped |
Closest papers by meaning
- PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds (CVPR 2019 · similarity 0.92)
- FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019 · similarity 0.90)
- HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding (CVPR 2021 · similarity 0.89)
- SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023 · similarity 0.89)
- PointConvFormer: Revenge of the Point-Based Convolution (CVPR 2023 · similarity 0.89)
- FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation (AAAI 2025 · similarity 0.88)
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