1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Uncertainty-based Network for Few-shot Image Classification
Minglei Yuan, Qian Xu, Chunhao Cai +3
The transductive inference is an effective technique in the few-shot learning task, where query sets update prototypes to improve themselves. However, these methods optimize the mo…
cs.CV2021★ 1 cited
Learning Class-level Prototypes for Few-shot Learning
Minglei Yuan, Wenhai Wang, Tao Wang +3
Few-shot learning aims to recognize new categories using very few labeled samples. Although few-shot learning has witnessed promising development in recent years, most existing met…
cs.LG2020
Channel Relationship Prediction with Forget-Update Module for Few-shot Classification
Minglei Yuan, Cunhao Cai, Tong Lu
In this paper, we proposed a pipeline for inferring the relationship of each class in support set and a query sample using forget-update module. We first propose a novel architectu…