Work

BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning

Year: 2025

Type: article

Source: IEEE Transactions on Neural Networks and Learning Systems

DOI: 10.1109/tnnls.2025.3548465

Authors: Zhiling Fu, Zhe Wang, Xinlei Xu, Wei Guo, Ziqiu Chi, Hai Yang, Wenli Du

Institutions: Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Natural Science Foundation of Shanghai, National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G1631478713, G5326557601, G7870373927

OpenAlex ID: W4408609382

FWCI: 3.263

Cites: 55

Cited by: 8

Related to: 10