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A pathwise approach to change detection reveals that continuous transport in feature space significantly enhances the model's ability to capture and interpret temporal changes.
Current remote sensing change captioning datasets miss fine-grained localized semantic reasoning, but RSRCC fills this gap with 126k change-specific questions.
