Lightweight Stepless Super-Resolution of Remote Sensing Images via Saliency-Aware Dynamic Routing Strategy. (arXiv:2210.07598v1 [cs.CV])

Deep learning-based algorithms have greatly improved the performance of
remote sensing image (RSI) super-resolution (SR). However, increasing network
depth and parameters cause a huge burden of computing and storage. Directly
reducing the depth or width of existing models results in a large performance
drop. We observe that the SR difficulty of different regions in an RSI varies
greatly, and existing methods use the same deep network to process all regions
in an image, resulting in a waste of computing resources. …

arxiv images remote routing sensing strategy