no code implementations • 22 Apr 2020 • Dong Wang, Xiaoqian Qin, Fengyi Song, Li Cheng
Generative adversarial networks (GANs), famous for the capability of learning complex underlying data distribution, are however known to be tricky in the training process, which would probably result in mode collapse or performance deterioration.
no code implementations • 12 Jan 2015 • Xiaoqian Qin, Xiaoyang Tan, Songcan Chen
One major challenge in computer vision is to go beyond the modeling of individual objects and to investigate the bi- (one-versus-one) or tri- (one-versus-two) relationship among multiple visual entities, answering such questions as whether a child in a photo belongs to given parents.