CHAN-HON-TONG, A. Rare Visual Token Enhancement Improves Registration and Few-Shot Change Detection in Remote Sensing Data. Preprints2024, 2024091067. https://doi.org/10.20944/preprints202409.1067.v1
APA Style
CHAN-HON-TONG, A. (2024). Rare Visual Token Enhancement Improves Registration and Few-Shot Change Detection in Remote Sensing Data. Preprints. https://doi.org/10.20944/preprints202409.1067.v1
Chicago/Turabian Style
CHAN-HON-TONG, A. 2024 "Rare Visual Token Enhancement Improves Registration and Few-Shot Change Detection in Remote Sensing Data" Preprints. https://doi.org/10.20944/preprints202409.1067.v1
Abstract
This paper introduces the self-supervised pretext task of rare visual token enhancement: given an image, the model is trained to push the rarest visual tokens far from all the others. This pretext task slightly-but-consistently improves baseline performances for both registration and few-shot change detection on OSCD, LEVIR-CD and S2looking.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
