A PyTorch implementation for paper Unsupervised Domain Adaptation by Backpropagation
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wogong
6a9e484102
update svhnmodel structure, basically the same as paper, except for the last conv layers, kernel change from 5x5 to 4x4, get better result 75%.
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5 years ago |
| .. |
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__init__.py
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initial commit
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7 years ago |
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gtsrb.py
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add bn layer, source only get 60%, while DA get unstable results, maximum 61%, very similar to source only.
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5 years ago |
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mnist.py
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update svhnmodel structure, basically the same as paper, except for the last conv layers, kernel change from 5x5 to 4x4, get better result 75%.
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5 years ago |
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mnistm.py
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remove params.py, add split task file, etc.
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7 years ago |
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office.py
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reorganize file.
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6 years ago |
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officecaltech.py
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remove params.py, add split task file, etc.
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7 years ago |
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svhn.py
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update svhnmodel structure, basically the same as paper, except for the last conv layers, kernel change from 5x5 to 4x4, get better result 75%.
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5 years ago |
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synsigns.py
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add bn layer, source only get 60%, while DA get unstable results, maximum 61%, very similar to source only.
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5 years ago |
