Research map / Detection and segmentation / 3D detection and driving
SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use SRDAN instead of SWDA-3D | SECOND-based detector · Boston → Singapore | Car AP: 72.4 -> 74.6 | Helped |
| use SRDAN instead of SWDA-3D | SECOND-based detector · Singapore → Boston | Car AP: 70.3 -> 72.5 | Helped |
| use SRDAN instead of SWDA-3D | SECOND-based detector · Day → Night | Car AP Moderate: 76.2 -> 78.4 | Helped |
| use SRDAN instead of CDN | 3D object detection on KITTI · PreSIL → KITTI | Car AP Moderate: 19.0 -> 22.1 | Helped |
| add a 3D voxel-based feature pyramid network (ablation) | SECOND · Boston → Singapore (Car) | mAP: 71.4 -> 72.6 | Helped |
| add scale-aware domain alignment (ablation) | SECOND + FPN · Boston → Singapore (Car) | mAP: 72.6 -> 73.3 | Helped |
| add range-guided local alignment (ablation) | SECOND · Boston → Singapore (Car) | mAP: 71.4 -> 72.4 | Helped |
| add location-related global alignment (ablation) | SECOND · Boston → Singapore (Car) | mAP: 71.4 -> 72.9 | Helped |
| add both RLA and LGA for range-aware domain alignment (ablation) | SECOND · Boston → Singapore (Car) | mAP: 71.4 -> 73.1 | Helped |
| combine scale-aware and range-aware domain alignment (ablation) | SECOND · Boston → Singapore (Car) | mAP: 71.4 -> 74.6 | Helped |
Closest papers by meaning
- PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation (NeurIPS 2019 · similarity 0.90)
- Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection (NeurIPS 2024 · similarity 0.87)
- One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection (NeurIPS 2024 · similarity 0.87)
- 3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features (CVPR 2024 · similarity 0.86)
- Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment (AAAI 2025 · similarity 0.86)
- Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection (CVPR 2024 · similarity 0.86)
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