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eess.IV2025
Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization
Bo-Yun Shi, Yi-Cheng Lo, An-Yeu +2
The Mamba model, utilizing a structured state-space model (SSM), offers linear time complexity and demonstrates significant potential. Vision Mamba (ViM) extends this framework to…
eess.IV2020★ 3 cited
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng +2
Deep Convolutional Neural Networks (CNNs) have achieved remarkable results on Single Image Super-Resolution (SISR). Despite considering only a single degradation, recent studies al…
eess.IV2019
Architecture-aware Network Pruning for Vision Quality Applications
Wei-Ting Wang, Han-Lin Li, Wei-Shiang Lin +2
Convolutional neural network (CNN) delivers impressive achievements in computer vision and machine learning field. However, CNN incurs high computational complexity, especially for…