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license: mit
library_name: pytorch
pipeline_tag: image-segmentation
tags:
- 3d-instance-segmentation
- scannetpp
- scannet
- competitorformer
---
# CompetitorFormer
> **CompetitorFormer: Mitigating Query Conflicts for 3D Instance Segmentation via Competitive Strategy (CVPR 2026)**
>
> Duanchu Wang, Junjie Yang, Haoran Gong, Jing Liu, Di Wang
>
> [[Paper](https://openaccess.thecvf.com/content/CVPR2026/html/Wang_CompetitorFormer_Mitigating_Query_Conflicts_for_3D_Instance_Segmentation_via_Competitive_CVPR_2026_paper.html)]
> [[Code](https://github.com/DuanchuWang/CompetitorFormer)]
Official checkpoints for CompetitorFormer, a competitive-strategy-based transformer that mitigates query conflicts for 3D instance segmentation.
## Results & Models
### ScanNet++ (official 50-scene val)
- Model: CompetitorFormer on ScanNet++ official 50-scene val
- Checkpoint: [`competitorformer_scannetpp.pth`](https://huggingface.co/WangDuanchu/CompetitorFormer/resolve/main/competitorformer_scannetpp.pth) (`num_query=500`)
- AP / AP<sub>50</sub> / AP<sub>25</sub> = **0.339 / 0.485 / 0.581**
```bash
mkdir -p checkpoints
wget https://huggingface.co/WangDuanchu/CompetitorFormer/resolve/main/competitorformer_scannetpp.pth \
-O checkpoints/competitorformer_scannetpp.pth
```
or:
```bash
huggingface-cli download WangDuanchu/CompetitorFormer competitorformer_scannetpp.pth --local-dir checkpoints
```
```bash
python tools/train.py configs/scannetpp/competitorformer_scannetpp.yaml \
--work_dir exps/competitorformer_scannetpp \
--eval_only \
--resume checkpoints/competitorformer_scannetpp.pth
```
Inference knobs (do not reuse ScanNet v2 values): `num_query=500`, `topk_insts=1300`, `num_class=84`.
### ScanNet v2
- Checkpoint: [`competitorformer_scannet.pth`](https://huggingface.co/WangDuanchu/CompetitorFormer/resolve/main/competitorformer_scannet.pth) (`num_query=400`)
```bash
wget https://huggingface.co/WangDuanchu/CompetitorFormer/resolve/main/competitorformer_scannet.pth \
-O checkpoints/competitorformer_scannet.pth
```
or:
```bash
huggingface-cli download WangDuanchu/CompetitorFormer competitorformer_scannet.pth --local-dir checkpoints
```
See the [GitHub README](https://github.com/DuanchuWang/CompetitorFormer) for installation, data preparation, training, and evaluation.
## Citation
```bibtex
@InProceedings{Wang_2026_CVPR,
title = {CompetitorFormer: Mitigating Query Conflicts for 3D Instance Segmentation via Competitive Strategy},
author = {Wang, Duanchu and Yang, Junjie and Gong, Haoran and Liu, Jing and Wang, Di},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {34724-34733},
year = {2026},
}
```
## License
This project is released under the MIT License.
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