Comments (2)
Same problem.
Have you figured it out?
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sorry for the late reply. https://github.com/wgchang/DSBN/blob/8e7e276e846b48b6880578d2984762612d7ec56f/trainval_multi.py#L374
It seems that you mentioned this line of code.
DSBN model can have multiple domain labels.
if the # of the source is N and the # of target is M, there are N+M DSBN in total.
In the code, source domain index(src_idx) should be 0, 1, ... , N-1 and the target domain index (trg_idx) should be N, N+1, ..., N+M-1. (note that trg_idx starts from N)
By multiplying one vector, every sample of x_s and x_t can be labeled as src_idx and trg_idx.
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Related Issues (10)
- Different domains in one batch HOT 1
- Can not reproduce the result HOT 1
- t-sne issue HOT 2
- Difference between DSBN and AdaBN HOT 1
- CDAN+DSBN HOT 3
- have you tried regression tasks HOT 1
- run script in other exp setting HOT 1
- reproduce HOT 4
- One problem HOT 3
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