Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints
Author:
Affiliation:
1. Universidade Federal de Minas Gerais
2. Google Research
3. Université de Bourgogne
Funder
CAPES
CNPq
FAPEMIG
Google
CNRS
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204558.pdf?arnumber=10204558
Reference42 articles.
1. Key. net: Keypoint detection by handcrafted and learned cnn filters;laguna;ArXiv Preprint,2019
2. SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
3. Image matching across wide baselines: From paper to practice;jin;International Journal of Computer Vision,2020
4. L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space
5. Geodesc: Learning local descriptors by integrating geometry constraints;luo;Proceedings of the European Conference on Computer Vision (ECCV),0
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