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

Autopsy

书目名称Computer Vision – ECCV 2022影响因子(影响力)




书目名称Computer Vision – ECCV 2022影响因子(影响力)学科排名




书目名称Computer Vision – ECCV 2022网络公开度




书目名称Computer Vision – ECCV 2022网络公开度学科排名




书目名称Computer Vision – ECCV 2022被引频次




书目名称Computer Vision – ECCV 2022被引频次学科排名




书目名称Computer Vision – ECCV 2022年度引用




书目名称Computer Vision – ECCV 2022年度引用学科排名




书目名称Computer Vision – ECCV 2022读者反馈




书目名称Computer Vision – ECCV 2022读者反馈学科排名

Factual

MEEK

FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting,to any CNN architecture: FrequencyLowCut pooling. Our experiments show, that in combination with simple and Fast Gradient Sign Method (FGSM) adversarial training, our hyper-parameter free operator substantially improves model robustness and avoids catastrophic overfitting. Our code is available at .

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TAFIM: Targeted Adversarial Attacks Against Facial Image Manipulations,alized model only needs a single forward pass, thus running orders of magnitude faster and allowing for easy integration in image processing stacks, even on resource-constrained devices like smartphones (Project Page: .).

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酷热

,An Information Theoretic Approach for Attention-Driven Face Forgery Detection,g-and-play block, termed self-information attention (SIA) module, which can be integrated with most of the top-performance deep models to boost their detection performance. The SIA module can explicitly help the model locate the informative regions and recalibrate channel-wise feature responses, whi

酷热

修饰

metropolitan

,Adaptive Cross-domain Learning for Generalizable Person Re-identification,omplementary branches, a dynamic branch for extracting domain-adaptive features and a static branch for extracting the domain-invariant features. Extensive experiments demonstrate that the proposed approach achieves state-of-the-art performances on the popular benchmarks. Under Protocol-2, our metho

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