SAT-Cap, a single-stage transformer with spatial-channel attention and cosine-similarity fusion, achieves state-of-the-art CIDEr scores of 140.23% on LEVIR-CC and 97.74% on DUBAI-CCD for remote sensing change captioning.
Geochat: Grounded large vision- language model for remote sensing,
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Change Captioning in Remote Sensing: Evolution to SAT-Cap -- A Single-Stage Transformer Approach
SAT-Cap, a single-stage transformer with spatial-channel attention and cosine-similarity fusion, achieves state-of-the-art CIDEr scores of 140.23% on LEVIR-CC and 97.74% on DUBAI-CCD for remote sensing change captioning.