NCTR: Neighborhood Consensus Transformer for Feature Matching
Author:
Affiliation:
1. Southeast University,School of Automation,Nanjing,China,210096
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897245.pdf?arnumber=9897245
Reference24 articles.
1. SuperGlue: Learning Feature Matching With Graph Neural Networks
2. Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
3. LF-Net: Learning Local Features from Images;ono;Proc Advances Neural Inf Process Syst,2018
4. GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence
5. Deep Graph Matching Consensus;fey;Proc Int Conf Learn Representations,2020
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1. Local feature matching from detector-based to detector-free: a survey;Applied Intelligence;2024-03
2. DNC-Net:Dual-neighbourhood Consensus Network for Feature Matching;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
3. A Fast Matching Method for the SAR Images with Large Viewing Angles Based on Inertial Navigation Information and Neighborhood Structure Consensus;Remote Sensing;2023-08-19
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