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Weakly-supervised object detection.
| Date | Stars |
|---|---|
| 2026-07-24 | 365 |
| 2026-07-25 | 365 |
| 2026-07-28 | 365 |
| 2026-07-30 | 365 |
| 2026-08-06 | 365 |
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# Wetectron
Wetectron is a software system that implements state-of-the-art weakly-supervised object detection algorithms.
### Project [CVPR'20](https://jason718.github.io/project/wsod/main.html), [ECCV'20](https://jason718.github.io/project/ufoo/main.html) | Paper [CVPR'20](https://arxiv.org/pdf/2004.04725.pdf), [ECCV'20](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123640290.pdf)
## Installation
Check [INSTALL.md](docs/INSTALL.md) for installation instructions.
## Partial labels
The simulated partial labels (points and scribbles) of COCO can be found at [Google-drive](https://drive.google.com/drive/u/2/folders/1DYKIOrM0X3o_kdA-p932XYcIzku2fKAM) or [Dropbox](https://www.dropbox.com/sh/tq2gasoik98sfyc/AADdK9zPne9_v2QkauO2kpTZa?dl=0).
Please check `tools/vis_partial_labels.ipynb` for a visualization example.
## Model zoo
Check [MODEL_ZOO.md](docs/MODEL_ZOO.md) for detailed instructions.
## Getting started
Check [GETTING_STARTED](docs/GETTING_STARTED.md) for detailed instrunctions.
## New dataset
If you want to run on your own dataset or use other pre-computed proposals (e.g., Edge Boxes), please check [USE_YOUR_OWN_DATA](docs/USE_YOUR_OWN_DATA.md) for some tips.
## Misc
Please also check the documentation of [maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark) for things like abstractions and troubleshooting.
If your issues are not present there, feel free to open a new issue.
## Todo:
1. Sequential back-prop and ResNet models.
## Citations
Please consider citing following papers in your publications if they help your research.
```BibTeX
@inproceedings{ren-cvpr020,
title = {Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection},
author = {Zhongzheng Ren and Zhiding Yu and Xiaodong Yang and Ming-Yu Liu and Yong Jae Lee and Alexander G. Schwing and Jan Kautz},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020}
}
@inproceedings{ren-eccv2020,
title = {UFO$^2$: A Unified Framework towards Omni-supervised Object Detection},
author = {Zhongzheng Ren and Zhiding Yu and Xiaodong Yang and Ming-Yu Liu and Alexander G. Schwing and Jan Kautz},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2020}
}
```
## License
This code is released under the [Nvidia Source Code License](LICENSE).
This project is built upon [maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark), which is released under [MIT License](https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/LICENSE).
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