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Zero-Shot 3D Plant Organ Segmentation with SAM3 and Semantic NeRFs

Gilson, Andreas et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Accurate 3D plant organ segmentation is fundamental to automated phenotyping. Existing approaches rely on annotated training data or species-specific model configurations. We present an annotation-free pipeline for 3D plant organ segmentation, combining text-prompted SAM3 segmentation with semantic
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