End-to-end model compression via pruning and knowledge distillation for lightweight image super resolution

• Published in: Pattern analysis and applications : PAA Vol. 28; no. 2
• Main Authors: Wang, Yanzhe, Wang, Yizhen, Rohra, Avinash, Yin, Baoqun
• Format: Journal Article
• Language: English
• Published: London Springer London 01.06.2025; Springer Nature B.V
• Subjects: Back propagation; Computer Science; Image compression; Image resolution; Integrated approach; Modules; Original Article; Pattern Recognition; Performance enhancement; Pruning; Teachers; Pruning; Knowledge distillation; Model compression; Image super-resolution

Obtaining lightweight models is crucial for effectively addressing image super-resolution (SR), particularly for resource-constrained devices. Pruning and knowledge distillation (KD) are two commonly employed methods for compressing SR models. However, previous approaches have typically focused on a...