GeoMMBench reveals deficiencies in current multimodal LLMs for geoscience tasks while GeoMMAgent demonstrates that tool-integrated agents achieve significantly higher performance.
Foundation models for remote sensing and earth observation: A survey
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HyperFM is a new efficient hyperspectral foundation model using spectral grouping and hybrid attention that shows performance gains on cloud property retrieval tasks from PACE data, accompanied by the release of the HyperFM250K dataset.
citing papers explorer
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GeoMMBench and GeoMMAgent: Toward Expert-Level Multimodal Intelligence in Geoscience and Remote Sensing
GeoMMBench reveals deficiencies in current multimodal LLMs for geoscience tasks while GeoMMAgent demonstrates that tool-integrated agents achieve significantly higher performance.
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HyperFM: An Efficient Hyperspectral Foundation Model with Spectral Grouping
HyperFM is a new efficient hyperspectral foundation model using spectral grouping and hybrid attention that shows performance gains on cloud property retrieval tasks from PACE data, accompanied by the release of the HyperFM250K dataset.