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thuml / Universal-Domain-Adaptation

Code release for Universal Domain Adaptation(CVPR 2019)
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Training Details about office-31, visda 2017 and imagenet-caltech #3

Closed stefanxinhong closed 4 years ago

stefanxinhong commented 5 years ago

The paper and the released code miss some training details about the mentioned dataset. Could you provide the yaml files of office-31, visda 2017 and imagenet-caltech? In addition, the usage of dataset imagenet-caltech is quite different in paper SAN and PADA. Could you provide the label files of imagenet-caltech used in the paper? Thanks!

youkaichao commented 4 years ago

The config for office and visda are released in the latest commit https://github.com/thuml/Universal-Domain-Adaptation/commit/4422564b6bb6c003c82cddfc8c6ccffe282396ca . I think you can generate the label file for imagenet-caltech yourself, just be careful about the label mapping (the same category has different label_id in Imagenet and Caltech). How to train with ImageNet-caltech is also somewhat tedious, requiring many modifications and not compatible with the current code. That's why the code for ImageNet-caltech is not released.