Adding soft-distance boundary pseudo-labels and a bidirectional cross-boundary semantic module to an Octree Transformer improves pig point cloud segmentation, achieving 98.65% accuracy and 88.77% boundary IoU on a private dataset.
Computer vision-based weight estimation of livestock: a systematic literature review.N.Z.J.Agric.Res.2022,65,227–247
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Boundary-Enhanced Segmentation of Pig Point Clouds in Commercial Housing Environments
Adding soft-distance boundary pseudo-labels and a bidirectional cross-boundary semantic module to an Octree Transformer improves pig point cloud segmentation, achieving 98.65% accuracy and 88.77% boundary IoU on a private dataset.