Abstract: Foreign object detection on power transmission lines using UAVs faces challenges such as multi-scale feature discrepancies, morphological variability, sub-optimal fusion of low-level and ...
Abstract: A novel "edge attention-based Convolutional Neural Network (CNN)" is proposed in this research for object classification task. With the advent of advanced computing technology, CNN models ...
A novel multimodal object detection framework with sparse transformer and explicit attention module. The illustration of our proposed multimodal object detection framework is shown in the following ...
This project implements a domain-adaptive object detector based on YOLOv8n, enhanced with CBAM (Convolutional Block Attention Module) and DANN (Domain-Adversarial Neural Network) for improved ...
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