But do you ever wonder how the deep learning object detection algorithms are evolved over the years, their pros and cons?I find the paper - Recent Advances in Deep Learning for Object Detection a really good answer to this quest. Let me summarize what I have learned, hopefully, elaborate ...
This work seeks to address these challenges by investigating the effectiveness of deep learning (DL) methods in object detection tasks. Leveraging DL allows for the direct learning of feature representations from image data, resulting in advanced performance. This review provides a comprehensive ...
In this paper we provide a comprehensive and in-depth survey on small object detection in the deep learning era. Our survey aims to cover thoroughly five respects of small object detection algorithms, including multi-scale feature learning, data augmentation, training strategy, context-based detection...
Object detection is a computer vision technique for locating instances of objects in images or videos. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. When humans look at images or videos, we can recognize and locate objects...
deep learning techniques are more representative than the handcrafted features. Therefore, this review paper focuses on the object detection algorithms based on deep convolutional neural networks, while the traditional object detection algorithms will be simply introduced as well. Through the review and ...
一、Object detection物体检测与其他计算机视觉问题的区别与联系在这里。有必要解释一下几大 计算机视觉问题的区别与联系。说起物体检测是,那是 计算机视觉之中一个比较热门的问题。而它与 图像识别classificatio…
Perform classification, object detection, transfer learning using convolutional neural networks (CNNs, or ConvNets), create customized detectors
In intelligent transportation systems, object detection for a surveillance video is one of the important functions. The performance of existing surveillance video object detection algorithms is affected by the conflict between the features of the objects, which leads to a decline in precision. Therefore...
deep learning algorithms for detection tasks, the performance of object detectors has been greatly improved.In order to understand the main development status of object detection pipeline thoroughly and deeply, in this survey, we analyze the methods of existing typical detection models and describe the...
under advanced stages in deep learning based detectors. Further, one-two and advanced stages of detectors are studied in detail focusing on low-altitude UAV datasets. The paper provides a broad summary of low altitude datasets along with their respective literature in detection algorithms for the ...