#object-detection2 articles

2 articles

AIBullisharXiv – CS AI · 6h ago1

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DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops

Researchers developed a foundational crop-weed detection model combining DINOv3 vision transformer with YOLO26 architecture, achieving significant improvements in precision agriculture applications. The model showed up to 14% better performance on cross-domain datasets while maintaining real-time processing at 28.5 fps despite increased computational requirements.

AIBullisharXiv – CS AI · 6h ago1

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YCDa: YCbCr Decoupled Attention for Real-time Realistic Camouflaged Object Detection

Researchers propose YCDa, a new AI strategy for real-time camouflaged object detection that mimics human vision by separating color and brightness information. The method achieves 112% improvement in detection accuracy and can be easily integrated into existing AI detection systems with minimal computational overhead.