Beijing University of Chemical Tehcnology

Zihao Wu

Wei Zhang

Li Wang

Zhiwei Li

Xintao Wu

Qifan Tan

Tianyu Shen

Kunfeng Wang

Peiran Chen

Jingshuo Liu

An incremental learning method and apparatus for a large Vision-Language Model for autonomous driving are provided. The incremental learning method includes: expanding a first training sample set to obtain a second training sample set, wherein the second training sample set includes a plurality of image samples annotated with road scene targets; inserting a plurality of fine-tuning sub-networks respectively into specified positions in a first large Vision-Language Model to generate a second large Vision-Language Model; processing the image samples in the second training sample set using the second large Vision-Language Model to obtain a target prediction result; calculating a loss value using the target prediction result and a target annotation result; and preserving parameters of the first large Vision-Language Model unchanged, and updating parameters of the fine-tuning sub-networks using the loss value.

Incremental learning method and apparatus for large vision-language model for autonomous driving

Growing community of inventors

Beijing, China

Zihao Wu