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README.md
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README.md
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@ -22,6 +22,19 @@ We train OLN on COCO VOC categories, and test on non-VOC categories. Note our AR
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| OLN-Box | 24.8 | 18.0 | 26.4 | 33.4 | 39.0 | 45.0 | [model](https://drive.google.com/uc?id=1uL6TRhpSILvWeR6DZ0x9K9VywrQXQvq9) |
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## Citation
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If you use this toolbox or benchmark in your research, please cite this project.
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```bibtex
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@article{kim2021oln,
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title={Learning Open-World Object Proposals without Learning to Classify},
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author={Kim, Dahun and Lin, Tsung-Yi and Angelova, Anelia and Kweon, In So and Kuo, Weicheng},
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journal={arXiv preprint arXiv:2108.06753},
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year={2021}
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}
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```
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## Disclaimer
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@ -75,25 +88,10 @@ trained_weights/latest.pth ${NUM_GPUS}
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```
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# Multi-GPU distributed training
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bash tools/dist_train.sh configs/oln_box/oln_box.py ${NUM_GPUS}
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```
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## Acknowledgement
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## Citation
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If you use this toolbox or benchmark in your research, please cite this project.
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```bibtex
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@article{kim2021oln,
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title={Learning Open-World Object Proposals without Learning to Classify},
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author={Kim, Dahun and Lin, Tsung-Yi and Angelova, Anelia and Kweon, In So and Kuo, Weicheng},
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journal={arXiv preprint arXiv:2108.06753},
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year={2021}
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}
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```
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## Contact
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If you have any questions regarding the repo, please contact Dahun Kim (mcahny01@gmail.com) or create an issue.
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