3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Junying Huang, Fan Chen, Keze Wang +2
Aiming at recognizing the samples from novel categories with few reference samples, few-shot learning (FSL) is a challenging problem. We found that the existing works often build t…
cs.CV2021★ 1 cited
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
Junying Huang, Fan Chen, Sibo Huang +1
Aiming at recognizing and localizing the object of novel categories by a few reference samples, few-shot object detection (FSOD) is a quite challenging task. Previous works often d…
math.NA2020★ 3 cited
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning
Fan Chen, Jianguo Huang, Chunmei Wang +1
This paper proposes Friedrichs learning as a novel deep learning methodology that can learn the weak solutions of PDEs via a minmax formulation, which transforms the PDE problem in…