Work

EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost

Year: 2024

Type: article

Source: IEEE Transactions on Neural Networks and Learning Systems

DOI: 10.1109/tnnls.2024.3388197

Authors: Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li

Institutions: Huawei Technologies (China), Chongqing Jiaotong University, Sun Yat-sen University, City University of Hong Kong, South China University of Technology, Hong Kong Polytechnic University

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G333265798, 少量标注条件下的人体检测关键技术研究, G5594612476, G6272194840, G7779606772

OpenAlex ID: W4401692694

FWCI: 0.42

Cites: 43

Cited by: 3

Related to: 10