2 papers
cs.CV2026
CASP: Few-Shot Class-Incremental Learning with CLS Token Attention Steering Prompts
Shuai Huang, Xuhan Lin, Yuwu Lu
Few-shot class-incremental learning (FSCIL) presents a core challenge in continual learning, requiring models to rapidly adapt to new classes with very limited samples while mitiga…
cs.CV2025
MoTiC: Momentum Tightness and Contrast for Few-Shot Class-Incremental Learning
Zeyu He, Shuai Huang, Yuwu Lu +1
Few-Shot Class-Incremental Learning (FSCIL) must contend with the dual challenge of learning new classes from scarce samples while preserving old class knowledge. Existing methods…