Efficient Attention Pruning for Resource-Constrained Super-Resolution Using Statistical Thresholds and Quantum-Guided Sparsity
Non-local attention improves single-image super-resolution (SISR) by letting every query position aggregate information from all other positions, but the softmax normalisation at its core assigns strictly positive weight to every candidate regardless of relevance, diluting genuinely informative long-range correlations...