OilSegSARFormer: Adapter-Mix Transformer Backbone with Gated Detail-Refined Semantic Decoder for multi-class oil spill segmentation in SAR imagery.
- DOI
- 10.1016/j.marpolbul.2026.120467
- Published
- 2026 Oct 21
- Container
- Marine pollution bulletin
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.marpolbul.2026.120467,
title = {OilSegSARFormer: Adapter-Mix Transformer Backbone with Gated Detail-Refined Semantic Decoder for multi-class oil spill segmentation in SAR imagery.},
author = {Lyu X and Su H and Grecos C and Ren P},
year = {2026},
journal = {Marine pollution bulletin},
doi = {10.1016/j.marpolbul.2026.120467},
url = {https://doi.org/10.1016/j.marpolbul.2026.120467}
}RIS
TY - JOUR TI - OilSegSARFormer: Adapter-Mix Transformer Backbone with Gated Detail-Refined Semantic Decoder for multi-class oil spill segmentation in SAR imagery. AU - Lyu X AU - Su H AU - Grecos C AU - Ren P PY - 2026 JO - Marine pollution bulletin DO - 10.1016/j.marpolbul.2026.120467 UR - https://doi.org/10.1016/j.marpolbul.2026.120467 ER -
APA
X, L., H, S., C, G., & P, R. (2026). OilSegSARFormer: Adapter-Mix Transformer Backbone with Gated Detail-Refined Semantic Decoder for multi-class oil spill segmentation in SAR imagery.. Marine pollution bulletin. https://doi.org/10.1016/j.marpolbul.2026.120467
Source records
- pubmed · retrieved 2026-11-10T12:32:28.662Z