SCA-YOLO: a new small object detection model for UAV images

• Published in: The Visual computer Vol. 40; no. 3; pp. 1787 - 1803
• Main Authors: Zeng, Shuang, Yang, Wenzhu, Jiao, Yanyan, Geng, Lei, Chen, Xinting
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2024; Springer Nature B.V
• Subjects: Accuracy; Algorithms; Artificial Intelligence; Computer Graphics; Computer Science; Computer vision; Datasets; Deep learning; Design; Feature extraction; Feature maps; Image Processing and Computer Vision; Modules; Multilayers; Neural networks; Object recognition; Original Article; Semantics; Stitching; Telematics; Unmanned aerial vehicles; Small object detection; Spatial and coordinate attention enhancement; Feature fusion; UAV images

Object detection from UAV (unmanned aerial vehicle) images is a crucial and challenging task in the field of computer vision. The task suffers from the difficulties of small dense objects, low pixel occupation of objects, and features that are not easily extracted in images. In this paper, we propos...