A contrastive multimodal framework augments satellite-audio datasets with vision-language model sound descriptions to learn shared soundscape concepts for zero-shot retrieval and synthesis.
The results presented in the main paper are for satellite imagery at scale1
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
-
Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping
A contrastive multimodal framework augments satellite-audio datasets with vision-language model sound descriptions to learn shared soundscape concepts for zero-shot retrieval and synthesis.