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README.md
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CLOSP (Contrastive Language Optical SAR Pretraining) is a multimodal architecture designed for text-to-image retrieval.
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It creates a unified embedding space for text, Sentinel-2 (MSI), and Sentinel-1 (SAR) data.
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The CLOSP-
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## Model Details
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The model uses three separate encoders: one for text, one for Sentinel-1 (SAR) data, and one for Sentinel-2 (MSI) data.
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CLOSP (Contrastive Language Optical SAR Pretraining) is a multimodal architecture designed for text-to-image retrieval.
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It creates a unified embedding space for text, Sentinel-2 (MSI), and Sentinel-1 (SAR) data.
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The CLOSP-VS variant uses a ViT-small vision backbone.
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## Model Details
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The model uses three separate encoders: one for text, one for Sentinel-1 (SAR) data, and one for Sentinel-2 (MSI) data.
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