English(EN) MEOX: Compact Multimodal Mixture-of-Experts for Earth Observation

MEOX模型使用紧凑型多模态专家模型用于地球观测任务

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员推出了MEOX，这是一种专为地球观测任务设计的紧凑型多模态模型。该模型采用专家混合架构，参数量相对较少，并结合了传感器特定的适配器和元数据令牌来处理多样化的数据输入。MEOX在大规模数据集上进行了预训练，在各种基准的冻结迁移评估中表现出色，在分割和分类等任务上优于现有模型。 AI

影响该模型紧凑的设计和强大的迁移学习能力有望在地球观测领域实现更高效的人工智能应用。

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arXiv cs.CV TIER_1 English(EN) · Mohanad Albughdadi · 2026-09-07 04:00

MEOX：面向地球观测的紧凑型多模态混合专家模型

arXiv:2609.05351v1 Announce Type: new Abstract: Recent advances in Earth Observation representation learning accommodate heterogeneous sensors and missing observations, often through larger architectures. We present MEOX (Multimodal Earth Observation with eXperts), a multimodal m…