Hi, I can't reproduce your work on the market1501 dataset. Specifically, I use resnet50 as the backbone and without rerank, I can only get results of mAP 84.1% / rank-1 93.5%, which is far from the results ( mAP 87.2% / rank-1 95%) given in your report.
My run script is as follows：
python3 tools/train.py DATASETS.NAMES "('market1501')" MODEL.NAME "('resnet50')"
Hi, I can't reproduce your work on the market1501 dataset. Specifically, I use resnet50 as the backbone and without rerank, I can only get results of mAP 84.1% / rank-1 93.5%, which is far from the results ( mAP 87.2% / rank-1 95%) given in your report.
My run script is as follows： python3 tools/train.py DATASETS.NAMES "('market1501')" MODEL.NAME "('resnet50')"