Hong-Zhan Huang

Memory-Efficient High-Ratio Model Compression for Image Super-Resolution via Hybrid Hashing

Deep learning has markedly enhanced single image super-resolution (SISR) performance. However, the accompanying growth in model size severely limits the practical deployment of SISR models on edge devices with limited computational and storage resources. Existing methods typically adopt pruning or recurrent network arc...