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@@ -55,6 +55,12 @@ python main.py --stage 2 --task [segment_semantic/normal/depth_euclidean/depth_z
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After the evaluation, you can print the test results by running `python print_results.py`
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## References
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Our code refers the following repositores:
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* [timm](https://github.com/huggingface/pytorch-image-models/tree/0.5.x)
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* [BEiT: BERT Pre-Training of Image Transformers](https://github.com/microsoft/unilm/tree/master/beit)
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* [Vision Transformers for Dense Prediction](https://github.com/isl-org/DPT)
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## Citation
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If you find this work useful, please consider citing:
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```bib

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