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"TP-YOLO: A Lightweight Attention-Based Architecture for Tiny Pest Dete" by Yang Di, Son Lam Phung et al.

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. T...
Contextual Transformer Omni Dimensional Dynamic Convolution Attention Mechanism Test Detection Vision Transformers
Source: uow.edu.au

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