A Cross-Scale Decoder with Token Refinement for Off-Road Semantic Segmentation
A Cross-Scale Decoder with Token Refinement for Off-Road Semantic Segmentation explores A novel decoder architecture for off-road semantic segmentation that improves boundary coherence and recovers fine structural details by refining tokens across scales and guiding refinement with uncertainty.. Commercial viability score: 4/10 in Computer Vision.
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