… of deep learning-based object detection frameworks. Our review begins with a brief introduction
on the history of deep learning and its … Then, we focus on typical generic object detection …

… in deep learning based object detection and categorize them into three groups: detection
components, learning … For detection components, we first introduce two detection settings: …

… object detection algorithms based on deep convolutional neural networks, while the traditional
object detection … Through the review and analysis of deep learning-based object detection …

… detection are also enunciated. Deep learning techniques for state-of-the-art object detection
… , we demystified the role of deep learning techniques based on CNN for object detection. …

… of deep learning based generic object detection techniques, … , context modeling, and detection
proposal methods. The intention is … A brief introduction to deep learning is given in Sect. 3. …

… previous object detection surveys, this paper systematically and comprehensively reviews
deep learning based object detection methods and most importantly the up to date detection …

… the deep learning methods in object detection. Then it introduces the emergence of the object
detection methods based on deep learning … in the object detection via deep learning. In the …

… Conclusions In this article, we have reviewed the most recent progress in object detection,
which is mainly based on advanced deeplearning techniques. Specifically, the modern …

… surveys, this paper systematically and comprehensively reviews the object detection methods
based on deep learning, and most importantly, studies the latest detection solutions and …

… If we consider today’s object detection technique as a revolution driven by deep learning, …
For a detailed introduction to some important detection backbones in the deep learning era, …