Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representation

Visual signals require compact yet sufficient representations for robust downstream prediction. Convolutional sparse coding (CSC) provides an explicit mechanism for suppressing redundant components while preserving signal content, but its sparsity coefficient is typically fixed and manually selected