Combining semantic and geometric prompts with light fine-tuning gives the best SAM3 performance on remote sensing segmentation, while text-only prompting lags especially on irregular shapes.
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On the Effectiveness of Textual Prompting with Lightweight Fine-Tuning for SAM3 Remote Sensing Segmentation
Combining semantic and geometric prompts with light fine-tuning gives the best SAM3 performance on remote sensing segmentation, while text-only prompting lags especially on irregular shapes.