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GEOBIND: Binding Text, Image, and Audio through Satellite Images
In this work, we present a deep-learning model, GeoBind, that can infer about multiple modalities, specifically text, image, and audio, from satellite imagery of a location.
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
Further, we propose a novel proximity-aware evaluation metric that enables evaluating species distribution models using any pixel-level representation of ground-truth species range map.
Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
For a given location and overhead image, our model predicts the expected CLIP embeddings of the ground-level scenery.
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