most citedMemory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning

3 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2022★ 3 cited

Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning

Jinze Li, Yan Bai, Yihang Lou +4

Few-shot class-incremental learning(FSCIL) focuses on designing learning algorithms that can continually learn a sequence of new tasks from a few samples without forgetting old one…

cs.CV2022★ 2 cited

Bayesian Evidential Learning for Few-Shot Classification

Xiongkun Linghu, Yan Bai, Yihang Lou +4

Few-Shot Classification(FSC) aims to generalize from base classes to novel classes given very limited labeled samples, which is an important step on the path toward human-like mach…