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cs.CV2025
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
Haiduo Huang, Jiangcheng Song, Yadong Zhang +1
Recent advances in knowledge distillation have emphasized the importance of decoupling different knowledge components. While existing methods utilize momentum mechanisms to separat…
cs.CV2025
KernelDNA: Dynamic Kernel Sharing via Decoupled Naive Adapters
Haiduo Huang, Yadong Zhang, Yinghui Xu +1
Dynamic convolution enhances model capacity by adaptively combining multiple kernels, yet faces critical trade-offs: prior works either (1) incur significant parameter overhead by…
cs.CV2024
Beyond Color and Lines: Zero-Shot Style-Specific Image Variations with Coordinated Semantics
Jinghao Hu, Yuhe Zhang, GuoHua Geng +5
Traditionally, style has been primarily considered in terms of artistic elements such as colors, brushstrokes, and lighting. However, identical semantic subjects, like people, boat…