AFN
(ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
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최종 버전 다운로드 (.zip)- bList.txt
- cList.txt
- iList.txt
- pList.txt
- amazon_laebl.txt
- dslr_laebl.txt
- webcam_laebl.txt
- Art.txt
- Art_shared.txt
- Clipart.txt
- Clipart_shared.txt
- Product.txt
- Product_shared.txt
- Real_World.txt
- Real_World_shared.txt
- train_list.txt
- validation6_list.txt
- validation_list.txt
- validation_list25.txt
- validation_list50.txt
- validation_list75.txt
- README.md
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- README.md
- framework.jpg
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- train_ent.py
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- train_ent.py
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- __init__.py
- net.py
- __init__.py
- data_load.py
- eval.py
- main.sh
- train.py
- README.md
- README.md
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