UVO_Challenge
High quality class-agnostic image/video segmentation framework.
Update
Please kindly refer to this repo for the detection and segmentation code. This is exactly the same model we use during the UVO challenge.
Visualization
Our method can still achieve decent results on blur/occluded images/videos.
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 train+val | 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 train+val | 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 open a new issue(Prefered, as everybody can see your issue) or contact me if you have any questions.