DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks
Author:
Affiliation:
1. University of Quebec at Montreal,Department of Computer Science,Montreal,Canada
2. University of Bahrain,Department of Computer Science,Zallaq,Bahrain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650367.pdf?arnumber=10650367
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1. Panoramic annular SLAM with loop closure and global optimization
2. Virtual Correspondence: Humans as a Cue for Extreme-View Geometry
3. Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
4. From Coarse to Fine: Robust Hierarchical Localization at Large Scale
5. Objects matter: Learning object relation graph for robust absolute pose regression
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