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Data on the company’s portable MR imaging system show it can acquire brain images at the point of care that may assist physicians with screening and monitoring for Alzheimer’s and multiple...
Automatic detection of agricultural pests is a challenging problem that is of great interest in biosecurity and precision agriculture. The detection model must cope well with the dense distribution of small-sized pests in complex backgrounds. This paper proposes a lightweight attention-based network, called TP-YOLO, for tiny pest detection. We introduce two attention-based components, namely Contextual Transformer and Omni-Dimensional Dynamic Convolution modules, to enhance feature extraction. The proposed modules are integrated into the YOLOv8 backbone, a state-of-the-art baseline for object ...
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/PRNewswire/ -- Continued innovation, broad use in a variety of applications, ethical issues, and increased efficiency characterise the Vision Transformers...
ConvNets Match Vision Transformers at Scale