Adversarial masking for self-supervised learning
We propose ADIOS, a masked image modeling (MIM) framework for self-supervised learning, which simultaneously learns a masking function and an image encoder using an adversarial objective. The image encoder is trained to minimise the distance between representations of the original and that of a mask...
| 主要な著者: | , , , |
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| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
Journal of Machine Learning Research
2022
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