UVO_Challenge
Team Alpes_runner Solutions
This is an official repo for our UVO Challenge solutions for Image/Video-based open-world segmentation. Our team “Alpes_runner” achieved the best performance on both Image/Video-based benchmarks. More details about the workshop can be found here.
Technical Reports
Models
Detection
| Model | Pretrained datasets | Finetuned datasets | links |
|---|---|---|---|
| UVO_Detector | COCO | – | config/weights |
| UVO_Detector | COCO | UVO | config/weights |
Segmentation
| Model | Pretrained datasets | Finetuned datasets | links |
|---|---|---|---|
| UVO_Segementor | COCO | – | weights |
| UVO_Segmentor | COCO, PASCAL, OpenImage | – | config/weights |
| UVO_Segmentor | COCO, PASCAL, OpenImage | UVO | config/weights |
Citation
If you find this project useful in your research, please consider cite:
@article{du20211st,
title={1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021},
author={Du, Yuming and Guo, Wen and Xiao, Yang and Lepetit, Vincent},
journal={arXiv preprint arXiv:2110.10239},
year={2021}
}
@article{du20211st,
title={1st Place Solution for the UVO Challenge on Video-based Open-World Segmentation 2021},
author={Du, Yuming and Guo, Wen and Xiao, Yang and Lepetit, Vincent},
journal={arXiv preprint arXiv:2110.11661},
year={2021}
}
Contact
Feel free to contact me or open a new issue if you have any questions.
