RPIQ: Residual-Projected Multi-Collaboration Closed-Loop and Single Instance Quantization for Visually Impaired Assistance
RPIQ: 基于残差投影多协作闭环和单实例量化的方法用于视障辅助
机构 * School of Information ; Software Engineering, University of Electronic Science ; School of Mathematical Sciences, Sichuan Normal University, Chengdu, Sichuan, China ; Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Academy of Medical Sciences \& Sichuan Provincial People's Hospital, University of Electronic Science ; Research Unit for Blindness Prevention, Chinese Academy of Medical Sciences, Sichuan Academy of Medical Sciences ; Sichuan Provincial People’s Hospital, Chengdu, Sichuan, China ; School of Medicine, University of Electronic Science ; Tibetan Language Intelligence National Key Laboratory, Qinghai Normal University, Xining, Qinghai, China
专题命中 视觉问答 :vision-language model(abstract);visual question answering(abstract);分类 cs.LG
AI总结 RPIQ通过残差投影多协作闭环和单实例量化方法,实现大规模模型在4位表示下的高效压缩,显著降低内存消耗并保持高性能,适用于视障辅助系统。