<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Object detection technology occupies a pivotal position in the field of modern computer vision research, its purpose is to accurately locate the object human beings are looking for in the image and classify the object. With the development of deep learning technology, convolutional neural networks are widely used because of their outstanding performance in feature extraction, which greatly improves the speed and accuracy of object detection. In recent years, reinforcement learning technology has emerged in the field of artificial intelligence, showing excellent decision-making ability to deal with problems. In order to combine the perception ability of deep learning technology with the decision-making ability of reinforcement learning technology, this paper incorporate reinforcement learning into the convolutional neural network, and propose a hierarchical deep reinforcement learning object detection model.</p></abstract>

Object detection technology occupies a pivotal position in the field of modern computer vision research, its purpose is to accurately locate the object human beings are looking for in the image and classify the object. With the development of deep learning technology, convolutional neural networks are widely used because of their outstanding performance in feature extraction, which greatly improves the speed and accuracy of object detection. In recent years, reinforcement learning technology has emerged in the field of artificial intelligence, showing excellent decision-making ability to deal with problems. In order to combine the perception ability of deep learning technology with the decision-making ability of reinforcement learning technology, this paper incorporate reinforcement learning into the convolutional neural network, and propose a hierarchical deep reinforcement learning object detection model.

Hierarchical Image Object Search Based on Deep Reinforcement Learning

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Hierarchical Image Object Search Based on Deep Reinforcement Learning"}

Object detection technology occupies a pivotal position in the field of modern computer vision research, its purpose is to accurately locate the object human...

Hierarchical Image Object Search Based on Deep Reinforcement Learning

Online veröffentlicht: 14. Okt. 2020

Seitenbereich: 65 - 72

DOI: https://doi.org/10.21307/ijanmc-2020-029

Schlüsselwörter
Object Detection, Deep Learning, Reinforcement Learning

© 2020 Wei Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Hierarchical Image Object Search Based on Deep Reinforcement Learning

Online veröffentlicht: 14. Okt. 2020

Seitenbereich: 65 - 72

DOI: https://doi.org/10.21307/ijanmc-2020-029

SchlüsselwörterObject Detection, Deep Learning, Reinforcement Learning

© 2020 Wei Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Object Detection, Deep Learning, Reinforcement Learning