Learning Distinctive Feature Representation for Descriptors on Multimodal Images by Incorporating Multiple Negative Samples
This article proposes a method composed of a loss function and a feature extractor structure, to learn the distinctive feature representation (DIFR) for descriptors on multimodal images. The distinctiveness of the feature representation plays a key role in matching keypoints, and has drawn a lot of...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11024194/ |
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