arxiv
PublishedSeptember 4, 2026 at 4:00 AM
—neutral
Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data
Publisher summary· verbatim
arXiv:2609.03391v1 Announce Type: cross Abstract: Contrastive language-image learning (CLIP) has become a key paradigm for remote sensing vision-language understanding. However, existing remote sensing contrastive learning methods are mostly built on RGB-oriented CLIP architectures, making it diffic
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Originally published on arxiv ↗