LiDAR-based 3D object detection is crucial for various applications but often experiences performance degradation in real-world deployments due to domain shifts. While most studies focus on ...
Wes has been covering games and hardware for more than 10 years, first at tech sites like The Wirecutter and Tested before joining the PC Gamer team in 2014. Wes plays a little bit of everything, but ...
Abstract: This letter proposes AccuLiteFastNet, a novel object detection model tailored for aerial remote sensing scenarios constructed on the YOLOv8. AccuLiteFastNet is designed to enhance the ...
Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...