Tag: object detection

Researchers have engineered RaCAM, a self-contained Raspberry Pi camera system that automates microscopy imaging, specimen segmentation, and neural network fossil ...

Researchers have developed a lightweight vision detector that achieves 95.94 percent mean average precision for coal and gangue identification under ...

A lightweight detector named GFLNet improves mAP@0.5 over the baseline on the DIOR and UCAS-AOD datasets.

Researchers have introduced DMLMD I, an annotated blood smear dataset designed to advance deep learning models for detecting multiple developmental ...

A new lightweight RGB-IR fusion network enables real-time object detection on drones, achieving high accuracy in low-light conditions with significantly ...

Computer vision researchers have developed an optimized lightweight neural network capable of accurately detecting electric bicycles in crowded residential elevators ...

Researchers have introduced LCS-Net, a lightweight collaborative neural network that executes simultaneous real-time object detection and semantic segmentation for autonomous ...

Researchers developed a compact road-object detector coupling high-resolution feature alignment and quality-aware assignment to improve small-object detection accuracy on benchmark ...

Researchers introduce Global Collaborative Learning to align object localization and classification by mining sub-hard training samples and enabling cross-task feature ...

Researchers integrated an InceptionV3 convolutional neural network into the YOLOv8 object detection architecture to achieve high-accuracy, real-time sign language recognition.