沙发 发表于 2025-3-25 03:52:13

https://doi.org/10.1007/978-3-642-72785-6cently, many vision transformer architectures have been proposed and they show promising performance. A key component in vision transformers is the fully-connected self-attention which is more powerful than CNNs in modelling long range dependencies. However, since the current dense self-attention us

态学 发表于 2025-3-25 11:13:27

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glans-penis 发表于 2025-3-25 15:08:51

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天真 发表于 2025-3-25 19:46:03

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Osmosis 发表于 2025-3-25 20:30:26

https://doi.org/10.1007/978-1-349-18031-8inst corrupted images as well as accuracy on clean data. Being complementary to popular data augmentation methods, EWS consistently improves robustness when combined with these approaches. To highlight the flexibility of our approach, we combine EWS also with popular adversarial training methods resulting in improved adversarial robustness.

繁荣中国 发表于 2025-3-26 01:33:56

,Improving Robustness by Enhancing Weak Subnets,inst corrupted images as well as accuracy on clean data. Being complementary to popular data augmentation methods, EWS consistently improves robustness when combined with these approaches. To highlight the flexibility of our approach, we combine EWS also with popular adversarial training methods resulting in improved adversarial robustness.

modest 发表于 2025-3-26 07:42:30

Conference proceedings 2022ning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..

盲信者 发表于 2025-3-26 08:31:22

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薄荷醇 发表于 2025-3-26 13:06:31

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言行自由 发表于 2025-3-26 16:57:02

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查看完整版本: Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app