With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...
Abstract: Weakly supervised object detection (WSOD) in remote sensing images (RSIs) only requires image-level labels, greatly reducing the cost of manual annotations. Recently, the pseudo-fully ...
Abstract: Object detection in aerial remote sensing images is essential for applications such as traffic management, public security, and ecological monitoring. However, existing methods struggle to ...
The growing global population and rising concerns about food security highlight the critical need for intelligent agriculture. Among various technologies, plant disease detection is vital but faces ...
A comprehensive computer vision project for detecting and analyzing Iranian supermarket snacks and chips using YOLOv11 object detection and segmentation models. This system combines real-time object ...
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