metadata
tags:
- pytorch
- lidar
- 3d-object-detection
- test-time-adaptation
pipeline_tag: object-detection
FIND Checkpoints
Source-pretrained SECOND-IoU checkpoints for FIND: Frequency Invariance Disentanglement for Test-Time Adaptation in LiDAR 3D Detection (NeurIPS 2026).
Paper: arXiv:2611.09170
| Checkpoint | Source dataset | Adaptation task |
|---|---|---|
| n2k.pth | nuScenes | nuScenes → KITTI |
| w2k.pth | Waymo | Waymo → KITTI |
| k2c.pth | KITTI | KITTI → KITTI-C |
Place the downloaded checkpoints in the checkpoints/ directory of the FIND codebase.
Follow the GitHub README for installation, data preparation, source spectral statistics, and online adaptation.