As robotic materials grow smarter and more responsive, research could guide engineers in shaping systems believed by experts. Human creativity and behaviour can be imitated by evaluating how people ...
Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...
Abstract: Large-scale high-resolution remote sensing images (LSHR) are increasingly adopted for object detection, since they capture finer details. However, LSHR imposes a substantial computational ...
The U.N. General Assembly’s yearly meeting of world leaders is here. And with it comes an array of acronyms, abbreviations, ...
Abstract: Real-time object detection and interaction are essential for various applications, including human-computer interaction (HCI), augmented reality, and robotics. This study examines the ...
The inherent noisy and sparse characteristics of radar data pose challenges in finding effective representations for 3D object detection. In this paper, we propose RadarDistill, a novel knowledge ...
Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection" we also add our config in https://github.com/zcablii/LSKNet and ...
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