Deep Semantic Feature Matching Using Confidential Correspondence Consistency
This work aims to establish visual correspondences between a pair of images depicting objects of the same semantic category. It encounters many challenges such as non-overlapping of scenes or objects, background clutter, and large intra-class variation. Existing methods handle this task with handcra...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8959084/ |