Handling Non-Smooth Tensor Data: A Multi-Objective Tensor Recovery Framework with Learnable Tensor Nuclear Norms

The core message of this work is to propose a novel tensor recovery model with learnable tensor nuclear norms to effectively address the non-smooth challenge in traditional t-SVD-based tensor recovery methods, and further develop a multi-objective tensor recovery framework to efficiently explore the low-rankness of tensor data across its various dimensions.