English(EN) MambaMPD: A Mamba-Driven Segmentation Framework for Marine Pollution Detection from Remote Sensing Imagery

MambaMPD 框架利用 Mamba 模型增强海洋污染检测能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 04:00

研究人员开发了 MambaMPD，一个新颖的分割框架，用于从遥感影像中检测海洋污染。该框架利用 Mamba 模型，并结合了频率感知增强和多尺度边缘引导注意力，以增强对细微污染信号的识别并优化边界细节。实验表明，在基准数据集上，MambaMPD 在准确性和计算效率方面优于现有方法。 AI

影响这项研究可能有助于开发更高效、更准确的海洋污染环境监测系统。

排序理由该项目是一篇研究论文，详细介绍了一种用于特定计算机视觉任务的新模型架构。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Shuaiyu Chen, Wei Han, Peng Ren, Chunbo Luo, Zeyu Fu · 2026-09-15 04:00

MambaMPD：一种基于Mamba的遥感影像海洋污染检测分割框架

arXiv:2609.15676v1 Announce Type: new Abstract: Accurate marine pollution detection (MPD) is essential for protecting coastal ecosystems and marine biodiversity. Vision Mamba models have shown promise in remote-sensing semantic segmentation by efficiently capturing long-range dep…