Deep learning has revolutionised the detection and classification of objects at sea, underpinning advances in maritime surveillance, autonomous navigation and environmental monitoring. Convolutional ...
Underwater object detection is challenged by light attenuation, scattering, and severe appearance degradation, which introduce instability across different stages of the detection pipeline. To address ...
A systematic review of 60 strawberry detection studies finds that 35 percent applied data augmentation before dataset ...
The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods, ...
Researchers integrated an InceptionV3 convolutional neural network into the YOLOv8 object detection architecture to achieve ...
Umashanker Bandari's co-authored IEEE Xplore paper explores a context-aware deep learning framework for accurate, efficient, real-time multi-object detection in traffic surveillance, addressing ...
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