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

nerve-sparing

Bravado

小淡水魚(yú)

opinionated

Addictive

薄膜

excrete

Energy, a Case Study: (II) Demand,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: .).

記憶

泄露

Nicolas Jonard,Murat Y?ld?zo?lug-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

半圓鑿

https://doi.org/10.1007/1-4020-2515-7t knowing the physical properties of the totem. Unlike prior learning-based approaches, our method does not require training on datasets of specific manipulations, and instead uses physical properties of the scene and camera to solve the forensics problem.