Abstract: Object detection in remote sensing images differs from general object detection in that it faces numerous challenges, such as false alarm interference. However, conventional object detection ...

Abstract: Multi-object tracking (MOT) is widely applied in the field of computer vision. However, MOT from a drone’s perspective poses several challenging issues, such as small object size, large ...

Using an affordable 3D printer and the CRAFT method, researchers created a model human hand from a single feedstock with distinct domains that mimic the hardness or flexibility of skin, ligaments, ...

Abstract: A key issue of existing deep-learning-based object detection methods in remote sensing images is that they often struggle to differentiate the background and small object regions due to ...

Abstract: Infrared few-shot object detection (IFSOD) aims to detect infrared objects with limited labeled examples. Current infrared datasets, however, suffer from limited diversity in object types ...

Abstract: Despite the remarkable success of remote sensing object detection, these methods primarily operate under a closed-world paradigm, as they often misclassify or ignore novel objects in real ...

Abstract: An efficient method, characteristic mode-multilevel fast multipole algorithm-clustering (CM-MLFMA-Clustering) method, is proposed for analyzing electromagnetic scattering in multi-object ...

Abstract: In the context of autonomous driving, it is both critical and challenging to locate 3D objects by using a calibrated RGB image. Current methods typically utilize heteroscedastic aleatoric ...

Abstract: In the modern automotive industry, Advanced Driving Assistance Systems (ADAS) have gradually become a standard feature in various types of vehicles, with the important function of detecting ...

Abstract: Aiming at the specific characteristics of flying bird objects in surveillance video, such as the typically non-obvious features in single-frame images, small size in most instances, and ...

Abstract: In the field of object detection, detecting small objects is an important and challenging task. However, most existing methods tend to focus on designing complex network structures, lack ...