DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Abstract: YOLOv10, known for its efficiency in object detection methods, quickly and accurately detects objects in images. However, when detecting small objects in remote sensing imagery, traditional ...
Abstract: Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are ...
Developed a full-stack traffic system with FastAPI, Flask, React, and MySQL. It manages vehicle records and violations, and uses an AI model to detect no-helmet cases from images and automatically log ...
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