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@@ -9,7 +9,7 @@ Pytorch implementation for the [paper](https://yu-wu.net/pdf/CVPR2018_Exploit-Un
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- h5py, scikit-learn, metric-learn, tqdm
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### Download datasets
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- DukeMTMC-VideoReID: [[Google Drive]](https://drive.google.com/open?id=1JBrffnNTZufQ-hRYr9I8FtxeGqDkud1r) [[BaiduYun]](https://pan.baidu.com/) [[Direct Link]](http://45.62.126.139:8080/dukemtmc_videoReID.zip). More details and baseline code for the dataset can be found in [this repo](https://github.com/Yu-Wu/DukeMTMC-VideoReID).
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- DukeMTMC-VideoReID: [[Google Drive]](https://drive.google.com/open?id=1JBrffnNTZufQ-hRYr9I8FtxeGqDkud1r) [[BaiduYun]](https://pan.baidu.com/s/1mz3Cn3jZj1UPs16_I7KqVg) [[Direct Link]](http://45.62.126.139:8080/dukemtmc_videoReID.zip). More details and baseline code for the dataset can be found in [this repo](https://github.com/Yu-Wu/DukeMTMC-VideoReID).
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- MARS: [[Google Drive]](https://drive.google.com/open?id=1wAzUK0jLQztRc6h95Tpvc9iYwVMM1n8b).
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- Move the downloaded zip files to `./data/` and unzip here.
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