May 7, 2024, 4:47 a.m. | Jianhua Wu, Bingzhao Gao, Jincheng Gao, Jianhao Yu, Hongqing Chu, Qiankun Yu, Xun Gong, Yi Chang, H. Eric Tseng, Hong Chen, Jie Chen

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.02288v1 Announce Type: new
Abstract: With the development of artificial intelligence and breakthroughs in deep learning, large-scale Foundation Models (FMs), such as GPT, CLIP, etc., have achieved remarkable results in many fields including natural language processing and computer vision. The application of FMs in autonomous driving holds considerable promise. For example, they can contribute to enhance scene understanding and reasoning. By pre-training on rich linguistic and visual data, FMs can understand and interpret various elements in a driving scene, and …

abstract application artificial artificial intelligence arxiv autonomous autonomous driving autonomous vehicles clip computer computer vision cs.ai cs.cv cs.ro deep learning development driving etc example fields foundation gpt intelligence language language processing natural natural language natural language processing processing results role scale type vehicles vision

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