VIALM: A Survey and Benchmark of Visually Impaired Assistance with Large Models

Visually Impaired Assistance (VIA) aims to automatically help visually impaired (VI) handle daily activities. The advancement of VIA primarily depends on developments in Computer Vision (CV) and Natural Language Processing (NLP), both of which exhibit cutting-edge paradigms with large models (LMs). Furthermore, LMs have shown exceptional multimodal abilities to tackle challenging physically-grounded tasks such as embodied robots. To investigate the potential and limitations of state-of-the-art (SOTA) LMs' capabilities in VIA applications, we present an extensive study for the task of …

advancement and natural language processing benchmark computer computer vision cs.ai cs.cl daily edge language language processing large models lms multimodal natural natural language natural language processing nlp processing survey via vision