Evolving classifiers with background suppression transformer for open-set long-tailed class-incremental remote sensing scene classification.
- DOI
- 10.1016/j.neunet.2026.109064
- Published
- 2026 Oct
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109064,
title = {Evolving classifiers with background suppression transformer for open-set long-tailed class-incremental remote sensing scene classification.},
author = {Song Y and Fu S and Xin H and Wang W and Ren P and Liu B and Ou W and Tao D},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109064},
url = {https://doi.org/10.1016/j.neunet.2026.109064}
}RIS
TY - JOUR TI - Evolving classifiers with background suppression transformer for open-set long-tailed class-incremental remote sensing scene classification. AU - Song Y AU - Fu S AU - Xin H AU - Wang W AU - Ren P AU - Liu B AU - Ou W AU - Tao D PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109064 UR - https://doi.org/10.1016/j.neunet.2026.109064 ER -
APA
Y, S., S, F., H, X., W, W., P, R., B, L., W, O., & D, T. (2026). Evolving classifiers with background suppression transformer for open-set long-tailed class-incremental remote sensing scene classification.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109064
Source records
- pubmed · retrieved 2026-09-25T18:42:03.070Z