Comments (4)
Related Issues (20)
- RuntimeError
- worker_init_fn in train_cross_teaching_between_cnn_transformer_2D.py
- About the way you create dataloaders for labeled and unlabeled data
- RGB input
- unsupervised loss weight
- Differences between the URCP paper and code
- Note able to get complete ACDC data HOT 1
- 关于deep-co-traing的问题
- DiceLoss uses 'sum' reduction, but CrossEntropyLoss uses 'mean' reduction
- for HOT 3
- train own 2D pictures HOT 2
- EMA in BN layer
- KeyError: '136' HOT 4
- Does R-Drop need two models? HOT 1
- Pseudo label
- metric HOT 1
- downloading dataset HOT 1
- Abouth testing in ACDC dataset
- A tip for this excellent work
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from ssl4mis.