Comments (2)
Sorry I didn't see it until now.
For calculating category centers, you first need pretrain the model on the source dataset,
and then you can calculate the category center by
MPSCL/domain_adaptation/train_UDA.py
Lines 101 to 127 in bb58bde
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Sovled. Thanks for your kindly reply.
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Related Issues (13)
- The warmup CT2MR pre-trained model. HOT 3
- about supervised training HOT 1
- shape error HOT 2
- CLASS_CENTER_FEA_INIT HOT 2
- data processing HOT 2
- Getting nan results when training HOT 5
- About the cosine similarity between the pixel feature and the anchor HOT 2
- train on another dataset HOT 3
- Reproduction of the results of the paper. HOT 5
- pretrain on source domain HOT 3
- how to train from scratch HOT 9
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