16 lines
665 B
Markdown
16 lines
665 B
Markdown
# Deep mutual learning
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This repo implements [Deep Mutual Learning (CVPR'18)](https://zpascal.net/cvpr2018/Zhang_Deep_Mutual_Learning_CVPR_2018_paper.pdf) (DML) for person re-id.
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We used this code in our [OSNet](https://arxiv.org/pdf/1905.00953.pdf) paper (see Supp. B). The training command to reproduce the result of "triplet + DML" (Table 12f in the paper) is
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```bash
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python main.py \
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--config-file im_osnet_x1_0_dml_256x128_amsgrad_cosine.yaml \
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--root $DATA
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```
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`$DATA` corresponds to the path to your dataset folder.
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Change `model.deploy` to `both` if you wanna enable model ensembling.
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If you have any questions, please raise an issue in the Issues area. |