Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
计算机视觉中的生成对抗网络:综述与分类
深入回顾文献中 GAN 相关研究,并从两个视角阐述针对三大挑战所提出的架构变体与损失变体。An in-depth review of GAN-related research in the literature is provided, and an account of the architecture-variant and loss-variants, which have been proposed to handle these three challenges from two perspectives are provided.
Domain Adaptation for Visual Applications: A Comprehensive Survey
视觉应用中的域适应:综合综述
综述领域自适应与迁移学习,重点关注视觉应用及超越图像分类的方法,如目标检测、图像分割、视频分析或视觉属性学习。An overview of domain adaptation and transfer learning with a specific view on visual applications and the methods that go beyond image categorization, such as object detection or image segmentation, video analyses or learning visual attributes are overviewed.