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MetaDD

Implementation of our [Domain Diversity Based Meta Learning for Continual Person Re-identification]

Dataset prepration

Please follow Torchreid_Dataset_Doc to download datasets and unzip them to your data path (we refer to 'machine_dataset_path' in train_test.py). Alternatively, you could download some of never-seen domain datasets in DualNorm.

Train

python train_test.py

Test

After training, you can perform testing by 'python train_test.py --mode test' based on your saved model. Our trained model is also provided.

Acknowledgement

Our work is based on the code of Nan Pu et al. (LifeLongReID) and our previous work (CKP). Many thanks to Nan Pu et al. for building the foundations for continual person re-identification.

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