SARVLM is the first vision-language foundation model for SAR, trained via domain transfer on a 1M image-text dataset and outperforming prior models on 13 benchmarks for retrieval, recognition, detection, and captioning.
Rethinking remote sensing clip: Lever- aging multimodal large language models for high-quality vision-language dataset
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery
SARVLM is the first vision-language foundation model for SAR, trained via domain transfer on a 1M image-text dataset and outperforming prior models on 13 benchmarks for retrieval, recognition, detection, and captioning.