2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2021
A Transductive Maximum Margin Classifier for Few-Shot Learning
Fei Pan, Chunlei Xu, Jie Guo +1
Few-shot learning aims to train a classifier that can generalize well when just a small number of labeled examples per class are given. We introduce a transductive maximum margin c…
cs.CV2021★ 2 cited
Temporal Alignment Prediction for Few-Shot Video Classification
Fei Pan, Chunlei Xu, Jie Guo +1
The goal of few-shot video classification is to learn a classification model with good generalization ability when trained with only a few labeled videos. However, it is difficult…
cs.CV2020★ 2 cited
Affinity Fusion Graph-based Framework for Natural Image Segmentation
Yang Zhang, Moyun Liu, Jingwu He +2
This paper proposes an affinity fusion graph framework to effectively connect different graphs with highly discriminating power and nonlinearity for natural image segmentation. The…