SARTM fine-tunes SAM2 with LoRA and distills CLIP text knowledge to improve RGB-thermal semantic segmentation, reporting top mIoU on PST900, MFNet, and FMB.
Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,
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Segment Any RGB-Thermal Model with Language-aided Distillation
SARTM fine-tunes SAM2 with LoRA and distills CLIP text knowledge to improve RGB-thermal semantic segmentation, reporting top mIoU on PST900, MFNet, and FMB.