Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

FLAW

書目名稱Computer Vision – ACCV 2022影響因子(影響力)




書目名稱Computer Vision – ACCV 2022影響因子(影響力)學(xué)科排名




書目名稱Computer Vision – ACCV 2022網(wǎng)絡(luò)公開度




書目名稱Computer Vision – ACCV 2022網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision – ACCV 2022被引頻次




書目名稱Computer Vision – ACCV 2022被引頻次學(xué)科排名




書目名稱Computer Vision – ACCV 2022年度引用




書目名稱Computer Vision – ACCV 2022年度引用學(xué)科排名




書目名稱Computer Vision – ACCV 2022讀者反饋




書目名稱Computer Vision – ACCV 2022讀者反饋學(xué)科排名

Ostrich

平息

arbiter

Multi-scale Wavelet Transformer for?Face Forgery Detectionrmance under the cross-dataset scenario. However, these methods only leverage one level frequency information which limits their expressive ability. To overcome these limitations, we propose a multi-scale wavelet transformer framework for face forgery detection. Specifically, to take full advantage

Asymptomatic

擴(kuò)張

擴(kuò)張

packet

Pcos971

Corroborate

Enhancing Fairness of?Visual Attribute Predictorses of sensitive attributes. We address this problem by introducing fairness-aware regularization losses based on batch estimates of Demographic Parity, Equalized Odds, and a novel Intersection-over-Union measure. The experiments performed on facial and medical images from CelebA, UTKFace, and the SI