Semantic Matching Based on Semantic Segmentation and Neighborhood Consensus

Establishing dense correspondences across semantically similar images is a challenging task, due to the large intra-class variation caused by the unconstrained setting of images, which is prone to cause matching errors. To suppress potential matching ambiguity, NCNet explores the neighborhood consen...

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Bibliographic Details
Main Authors: Huaiyuan Xu, Xiaodong Chen, Huaiyu Cai, Yi Wang, Haitao Liang, Haotian Li
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/10/4648