Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization.
Saved in:
| Title: | Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization. |
|---|---|
| Authors: | Xu T, Li L, Mi P, Zheng X, Chao F, Ji R, Tian Y, Shen Q |
| Source: | IEEE transactions on pattern analysis and machine intelligence [IEEE Trans Pattern Anal Mach Intell] 2024 Sep; Vol. 46 (9), pp. 6199-6215. Date of Electronic Publication: 2024 Aug 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 9885960 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1939-3539 (Electronic) Linking ISSN: 00985589 NLM ISO Abbreviation: IEEE Trans Pattern Anal Mach Intell Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
