3 papers
cs.CV2021
Deep Graph Matching under Quadratic Constraint
Quankai Gao, Fudong Wang, Nan Xue +2
Recently, deep learning based methods have demonstrated promising results on the graph matching problem, by relying on the descriptive capability of deep features extracted on grap…
cs.CV2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan, Jin-Gang Yu, Zhihao Liang +4
Few-shot instance segmentation (FSIS) conjoins the few-shot learning paradigm with general instance segmentation, which provides a possible way of tackling instance segmentation in…
cs.CV2020
Zero-Assignment Constraint for Graph Matching with Outliers
Fudong Wang, Nan Xue, Jin-Gang Yu +1
Graph matching (GM), as a longstanding problem in computer vision and pattern recognition, still suffers from numerous cluttered outliers in practical applications. To address this…