metadata
license: other
license_name: nvidia-open-model-license
license_link: https://huggingface.co/playbox-dev/SparseQID/blob/main/LICENSE
datasets:
- nvidia/PhysicalAI-SmartSpaces
tags:
- computer-vision
- multi-object-tracking
- multi-camera-tracking
- 3d-tracking
SparseQID checkpoints
Checkpoints for Online Multi-Camera 3D Tracking via ID Prediction over Recurrent Sparse Queries. Source code and instructions are available at playbox-dev/SparseQID.
The submitted model is ngc-frozen_v128_pe30_it6k.pth. It achieved 38.01 HOTA
on the 2026 AI City Challenge Track 1 test set.
Download
Run from the SparseQID source repository:
hf download playbox-dev/SparseQID \
--include "checkpoints/**" \
--local-dir .
Files
| Checkpoint | Use |
|---|---|
ngc-frozen_v128_pe30_it6k.pth |
Submitted model; frozen NGC detector |
ngc-joint_v128_pe30_it5k.pth |
Joint detector and identity training |
ngc-ft4k-frozen_v128_pe30_it8k.pth |
Frozen finetuned detector |
ngc-ft4k-joint_v128_pe30_it2k.pth |
Joint training with finetuned detector |
tok-appearance_v128_pe30_it2k.pth |
Appearance-token ablation |
tok-pos-fourier_v128_pe30_it2k.pth |
Fourier-position-token ablation |
tok-pos-raw_v128_pe30_it2k.pth |
Raw-position-token ablation |