Memorizing Complementation Network for Few-Shot Class-Incremental Learning

no code implementations • 11 Aug 2022 • Zhong Ji, Zhishen Hou, Xiyao Liu, Yanwei Pang, Xuelong Li

Few-shot Class-Incremental Learning (FSCIL) aims at learning new concepts continually with only a few samples, which is prone to suffer the catastrophic forgetting and overfitting problems.

Few-Shot Class-Incremental Learning Incremental Learning +1

Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning

no code implementations • 3 Sep 2021 • Zhong Ji, Zhishen Hou, Xiyao Liu, Yanwei Pang, Jungong Han

Semantic information provides intra-class consistency and inter-class discriminability beyond visual concepts, which has been employed in Few-Shot Learning (FSL) to achieve further gains.

Attribute Few-Shot Learning