Abstract: The city of Palembang is facing a significant increase in traffic density, causing various problems such as congestion. Research was conducted to overcome this problem by using various ...
A newly discovered celestial object may be a starless cloud that could change how astronomers understand dark matter.
Abstract: Object detection in unmanned aerial vehicle (UAV) remote sensing imagery is significantly challenged by small-scale objects, dense distributions, and complex backgrounds. Existing detection ...
Abstract: Tiny-object detection is increasingly crucial in fields such as remote sensing, traffic monitoring, and robotics. Inspired by human visual perception, the attention mechanism has become a ...
Abstract: In modern manufacturing, quality inspection of object surfaces has already become indispensable in the production. Faster Region Convolutional Neural Network (Faster R-CNN), a deep learning ...
Abstract: Effective waste detection remains a pressing challenge due to the variability, clutter, and inconsistent visual characteristics of waste environments. This state-of-the-art review rigorously ...
Multimodal Remote Sensing Object Detection Based on Prior-Enhanced Mixture-of-Experts Fusion Network
Abstract: Multimodal remote sensing image object detection enhances detection accuracy by fusing complementary information from multimodal image data. However, complex environments significantly ...
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