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Research questionHow can agricultural robotics reduce the manual pixel-level labeling needed for accurate plant and fruit segmentation?Agricultural robotics depends on pixel-level plant and fruit segmentation, but creating those masks requires costly, labor-intensive annotation. Reducing annotator input without substantially degrading training-label quality remains difficult.
Computer Vision
Image & Video Processing
Machine Learning
Robotics
Latest papersRecent research connected to this question, newest first.DropClick: Semi-Automated One-Click Segmentation for Agricultural Robotic DataThe evidence concerns DropClick, a click-guided semi-automated tool evaluated on the SB20 plant and BUP20 fruit segmentation datasets. It was trained on five images, tested with one-click input and missing clicks, and used to produce pseudo-labels for semi-supervised Mask2Former training; the reported results cover segmentation quality and input savings in these datasets.research paper · Sep 3, 2026
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