Object detection could be a technology associated with computer vision and image process that deals with crime squad work instances of semantics objects of a specific category in digital pictures and videos. Applications of object detection are in various fields of computer vision, together with image...
deep learning from five aspects, including multi-scale feature learning, data augmentation, training strategy, context-based detection and GAN-based detection. Then, we thoroughly analyze the performance of some typical small object detection algorithms on popular datasets, such as MS-COCO, PASCAL-VOC...
原文地址:Deep learning-based small object detection: A survey 主要贡献: 1、系统概述基于深度学习的 SOD 算法。 2、对基于深度学习的 SOTA SOD 算法进行性能评估。 3、最后,根据 SOD 的分类方法和性能分析,讨论了未来研究的潜在方向,包括适用于 SOD 优化的合适度量标准,弱监督 SOD 方法,多任务联合优化以及开放...
Tong, K., Wu, Y.: Small object detection using deep feature learning and feature fusion network. Eng. Appl. Artif. Intell. 132, 107931 (2024) Article Google Scholar Kim, S., Hong, S.H., Kim, H., Lee, M., Hwang, S.: Small object detection (sod) system for comprehensive constr...
Object detection has been widely applied in various fields with the rapid development of deep learning in recent years. However, detecting small objects is still a challenging task because of the limited information in features and the complex background. To further enhance the detection accuracy of...
A novel two-stage deep learning-based small-object detection using hyperspectral images Hyperspectral imaging has drawn significant attention in recent years, and its application to object detection and classification is currently an important... Y Lu,M Yamaguchi,N Noro,... - 《Optical Review》 被...
In the manufacturing process of printed circuit boards (PCBs), surface defects have a significant negative impact on product quality. Considering that traditional object detection algorithms have low accuracy in handling PCB images with complex backgroun
Deep learning has become the preferred method for automated object detection, but the accurate detection of small objects remains a challenge due to the lack of distinctive appearance features. Most deep learning-based detectors do not exploit the temporal information that is available in video, even...
The importance of object detection within computer vision, especially in the context of detecting small objects, has notably increased. This thorough surve
Jung, H.-K., Choi, G.-S.: Improved yolov5: Efficient object detection using drone images under various conditions. Appl. Sci. 12, 7255 (2022) Article Google Scholar Woźniak, M., Wieczorek, M., Siłka, J.: Deep neural network with transfer learning in remote object detection from...