Abstract The eighth AI City Challenge highlighted the convergence of computer vision and
artificial intelligence in areas like retail warehouse settings and Intelligent Traffic Systems …

Recent efforts have witnessed remarkable progress in satellite video super-resolution
(SVSR). However, most SVSR methods usually assume the degradation is fixed and known …

Detecting small objects in aerial images captured by unmanned aerial vehicles (UAVs) is
challenging due to their complex backgrounds and the presence of densely arranged yet …

Due to the mutual occlusion, severe scale variation, and complex spatial distribution, the
current multi-person mesh recovery methods cannot produce accurate absolute body poses …

Abstract Unmanned Aerial Vehicle (UAV) aerial photography object detection has high
research significance in the fields of disaster rescue, ecological environmental protection …

Detecting small objects is critical to many submissions, such as automatic drive and lung
nodule detection. However, small object detection is challenging with low-resolution …

The object detection of unmanned aerial vehicle (UAV) images has widespread applications
in numerous fields; however, the complex background, diverse scales, and uneven …

Recently, many studies have successfully exploited convolutional neural networks to
improve the performance of object detection in remote sensing images. However, detecting …

The rapid advancement of deep learning has significantly accelerated progress in target
detection. However, the detection of small targets remains challenging due to their …

Abstract The 1st Workshop on Maritime Computer Vision (MaCVi)| 2023 focused on
maritime computer vision for Unmanned| Aerial Vehicles (UAV) and Unmanned Surface …