CUST: Clustered Unit-level Similarity Transformer for Lightweight Image Super-Resolution
The Clustered Unit-level Similarity Transformer (CUST) is proposed, a novel architecture that efficiently integrates global and local information and achieves a lower memory footprint and faster inference speed compared to recent global context or lightweight models under realistic constraints.