3 papers
cs.CV2026
DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops
Boyang Deng, Yuzhen Lu
Developing robust models for precision vegetable weeding is currently constrained by the scarcity of large-scale, annotated weed-crop datasets. To address this limitation, this stu…
cs.CV2025
A Comparative Benchmark of Real-time Detectors for Blueberry Detection towards Precision Orchard Management
Xinyang Mu, Yuzhen Lu, Boyang Deng
Blueberry detection in natural environments remains challenging due to variable lighting, occlusions, and motion blur due to environmental factors and imaging devices. Deep learnin…
cs.CV2025
Semi-Supervised Weed Detection in Vegetable Fields: In-domain and Cross-domain Experiments
Boyang Deng, Yuzhen Lu
Robust weed detection remains a challenging task in precision weeding, requiring not only potent weed detection models but also large-scale, labeled data. However, the labeled data…