Deep visual models typically achieve robustness to geometric transformations through extensive data augmentation or increased model capacity, yet these empirical strategies do not guarantee explicitly equivariant or structurally constrained representations. While group-equivariant CNNs provide principled mechanisms for...
Yao-Xian Yang, Guipeng Lan, Shuai Xiao et al.· IEEE Transactions on Neural...· 0 citations
The purpose of face enhancement tasks is to improve the recognition of faces, thus adapting to diverse visualization and recognition demands. However, the performance of the majority methods is drastically degraded under extreme conditions, including large pose variations, low resolution, blur, occlusion, and illuminat...
Jingwei Xin, Tian Yang, Jun Hao et al.· IEEE Transactions on Informa...· 0 citations
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