CM-SSM reports 74.6% mIoU on the CART RGB-thermal benchmark and 85.9% on PST900, using 12.59M parameters and running at 114 FPS on an RTX 4090.
GMNet: Graded- feature multilabel-learning network for RGB-thermal urban scene semantic segmentation,
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Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation
CM-SSM reports 74.6% mIoU on the CART RGB-thermal benchmark and 85.9% on PST900, using 12.59M parameters and running at 114 FPS on an RTX 4090.