Searching Central Differene Convolutional Networks for Face Anti-Spoofing随笔
一.简介 论文里说相对与普通的卷积方法，CDC(Central Difference Convolution)中心差分卷积更能够提取攻击模式下固有的特征，例如晶格伪影在不同的环境变化下，文章的主要工作有： （1）设计了一种新的卷积算子叫中心差分卷积（CDC） 对于FAS任务，由于其对不同环境下不变的细粒度特征具有显著的表示能力。在不引入任何额外参数的情况下，CDC可以代替普通的卷积，直接将原来的卷
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相关文章
- 1. Fast Face-swap Using Convolutional Neural Networks
- 2. Convolutional Neural Networks for Visual Recognition
- 3. 【DDFD】《Multi-view Face Detection Using Deep Convolutional Neural Networks》
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