MMT
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yxgeee
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Hello, I have a small question: why to test with a feature after the BN layer and not before it?
I ran your source code (DBSCAN) directly, All hyperparameters follow the paper and Github repository, When using a Tesla V100, the highest accuracy on Duke-Market is mAP: 68.5%. When I...
Thank you for sharing this work! Actually, I have a question about the clustering process in mmt_train_kmeans.py file. ` dict_f, _ = extract_features(model_1_ema, cluster_loader, print_freq=50) cf_1 = torch.stack(list(dict_f.values())).numpy() dict_f, _...
Is the number of GPUs or type of GPU effective in accuracy that achieved in the paper? If I don't have 4 GPUs and I have 1 GPU, what would...
