Work

Advancing Few-Shot Class-Incremental Learning with Virtual Prototype Guidance Prompting

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp49660.2025.10890494

Authors: Xiang Qiu, Huanjia Zhu, Xiaocheng Fang, Jun Liang, Bingzhi Chen, Hui Lin

Institutions: South China Normal University, China Academy of Electronics and Information Technology

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W4408345596

FWCI: 0.988

Cites: 39

Cited by: 1

Related to: 10