PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors-Reference-Cited by-同舟云学术

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PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Revaud Jerome¹,Leroy Vincent¹,Weinzaepfel Philippe¹,Chidlovskii Boris¹

Affiliation:

1. NAVER LABS Europe

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880266.pdf?arnumber=9880266

Reference79 articles.

1. Belongie. Learning data-adaptive interest points through epipolar adaptation;yang;CVPR Workshops,0

2. Efros. Learning correspondence from the cycle-consistency of time;wang;CVPR,0

3. Learning Feature Descriptors Using Camera Pose Supervision

4. Deep Two-View Structure-from-Motion Revisited

5. Learning Discriminative and Transformation Covariant Local Feature Detectors

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1. Local feature matching using deep learning: A survey;Information Fusion;2024-07

2. Feature Matching in the Changed Environments for Visual Localization;Pattern Recognition and Computer Vision;2023-12-28

3. Deep Corner;International Journal of Computer Vision;2023-07-05

4. Learning Rotation-Equivariant Features for Visual Correspondence;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. SFD2: Semantic-Guided Feature Detection and Description;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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