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 often manually selected during training. We propose a tra...
Meng'en Qin, Yin-Chen Liu, Ming-Xuan Cui et al.
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