An impartial take to the CNN vs transformer robustness contest
Following the surge of popularity of Transformers in Computer Vision, several studies have attempted to determine whether they could be more robust to distribution shifts and provide better uncertainty estimates than Convolutional Neural Networks (CNNs). The almost unanimous conclusion is that they...
| Main Authors: | , , |
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| 格式: | Conference item |
| 語言: | English |
| 出版: |
Springer
2022
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