3 papers
cs.LG2026
IPEC: Test-Time Incremental Prototype Enhancement Classifier for Few-Shot Learning
Wenwen Liao, Hang Ruan, Jianbo Yu +3
Metric-based few-shot approaches have gained significant popularity due to their relatively straightforward implementation, high interpret ability, and computational efficiency. Ho…
cs.CV2026
InfoSculpt: Sculpting the Latent Space for Generalized Category Discovery
Wenwen Liao, Hang Ruan, Jianbo Yu +3
Generalized Category Discovery (GCD) aims to classify instances from both known and novel categories within a large-scale unlabeled dataset, a critical yet challenging task for rea…
cs.CV2026
EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning in Vision Transformers
Wenwen Liao, Hang Ruan, Jianbo Yu +3
Large models such as Vision Transformers (ViTs) have demonstrated remarkable superiority over smaller architectures like ResNet in few-shot classification, owing to their powerful…