Summary of How Lightweight Can a Vision Transformer Be, by Jen Hong Tan
How Lightweight Can A Vision Transformer Beby Jen Hong TanFirst submitted to arxiv on: 25…
How Lightweight Can A Vision Transformer Beby Jen Hong TanFirst submitted to arxiv on: 25…
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Networkby Sukwon Yun, Jie Peng, Alexandro…
Improving ICD coding using Chapter based Named Entities and Attentional Modelsby Abhijith R. Beeravolu, Mirjam…
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Modelsby Yida Zhao, Chao Lou, Kewei…
Early screening of potential breakthrough technologies with enhanced interpretability: A patent-specific hierarchical attention network modelby…
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classificationby Shuyi Ouyang, Hongyi Wang, Ziwei Niu,…
Towards Robust Vision Transformer via Masked Adaptive Ensembleby Fudong Lin, Jiadong Lou, Xu Yuan, Nian-Feng…
Problems in AI, their roots in philosophy, and implications for science and societyby Max Velthoven,…
SwinSF: Image Reconstruction from Spatial-Temporal Spike Streamsby Liangyan Jiang, Chuang Zhu, Yanxu ChenFirst submitted to…
Mamba meets crack segmentationby Zhili He, Yu-Hsing WangFirst submitted to arxiv on: 22 Jul 2024CategoriesMain:…