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We research Deepfake Generation and Detection This work focuses on the aspect of facial manipulation in Deepfake, encompassing Face Swapping, Face Reenactment, Talking Face Generation, Face Attribute Editing and Forgery Detection. We believe this will be the most comprehensive survey to date on facial...
The rest of the paper is structured as follows: “Survey methodology” section describes the survey methodology, followed by “Types of learning” section which presents the state-of-the-art learning techniques. DL architectures are introduced in “Deep learning architectures” section, while “Lack ...
A Survey on Deep Transfer Learning. International Conference on Artificial Neural Networks 2018 paper bib Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu A survey on domain adaptation theory: learning bounds and theoretical guarantees. arXiv 2020 paper bib Ievgen Redko,...
A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond. IEEE Internet Things J. 2021, 8, 5476–5497. [Google Scholar] [CrossRef] Exclusive: What Is Data Poisoning and Why Should We Be Concerned?—International Security Journal (ISJ), ...
MIMO-OFDM is a key technology and a strong candidate for 5G telecommunication systems. In the literature, there is no convenient survey study that rounds up all the necessary points to be investigated concerning such systems. The current deeper review pa
Current deep neural network learning models excel at a number of classification tasks by relying on a large batch of (partially) annotated training samples (see Guo et al. (2016) and LeCun, Bengio, and Hinton (2015) for reviews). However, such a learning scheme assumes that all samples ...
In: Proceedings of the ACM/SIGDA International Symposium on Field-Programmable Gate Arrays - FPGA ’17, pages 25–34. Google Scholar Khan et al., 2019 Khan, A., Sohail, A., Zahoora, U., Qureshi, A.S., 2019. A survey of the recent architectures of deep convolutional neural networks....
Figure 1: Taxonomy of label-efficient learning of point clouds. To the best of our knowledge, this is the first systematic and comprehensive survey that focuses on label-efficient learning of point clouds, providing a detailed overview of the progress and challenges in this field. Several relevant...
Deep learning_CNN_Review:A Survey of the Recent Architectures of Deep Convolutional Neural Networks——2019 CNN综述文章 的翻译 [2019 CVPR] A Survey of the Recent Architectures of Deep Convolutional Neural Networks 翻译 综述深度卷积神经网络架构:从基本组件到结构创新 目录 摘要 1、引言 2、CNN基本组件...