2 papers
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…
cs.AR2024
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning
Hao-Wei Chiang, Chi-Tse Huang, Hsiang-Yun Cheng +4
While memory-augmented neural networks (MANNs) offer an effective solution for few-shot learning (FSL) by integrating deep neural networks with external memory, the capacity requir…