1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2021
Revisiting Local Descriptor for Improved Few-Shot Classification
Jun He, Richang Hong, Xueliang Liu +2
Few-shot classification studies the problem of quickly adapting a deep learner to understanding novel classes based on few support images. In this context, recent research efforts…
cs.CV2020★ 1 cited
Memory-Augmented Relation Network for Few-Shot Learning
Jun He, Richang Hong, Xueliang Liu +3
Metric-based few-shot learning methods concentrate on learning transferable feature embedding that generalizes well from seen categories to unseen categories under the supervision…