ICE

This is the official PyTorch implementation of the ICCV 2021 paper ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification.

[Video] [Poster]

Installation

git clone https://github.com/chenhao2345/ICE
cd ICE
python setup.py develop

Prepare Datasets

Download the raw datasets DukeMTMC-reID, Market-1501, MSMT17, and then unzip them under the directory like

ICE/examples/data
├── dukemtmc-reid
│   └── DukeMTMC-reID
├── market1501
└── msmt17
    └── MSMT17_V1(or MSMT17_V2)

Training

We used 4 GPUs to train our model.

Train Market-1501:

python examples/unsupervised_train.py --dataset-target market1501

Train DukeMTMC-reID:

python examples/unsupervised_train.py --dataset-target dukemtmc-reid

Train MSMT17:

python examples/unsupervised_train.py --dataset-target msmt17

Citation

If you find this project useful, please kindly star our project and cite our paper.

@InProceedings{Chen_2021_ICCV,
    author    = {Chen, Hao and Lagadec, Benoit and Bremond, Fran\c{c}ois},
    title     = {ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {14960-14969}
}