Recent advances in deep learning for object detection

Object detection is a fundamental visual recognition problem in computer vision and has been widely studied in the past decades. Visual object detection aims to find objects of certain target classes with precise localization in a given image and assign each object instance a corresponding class lab...

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Main Authors: WU, Xiongwei, SAHOO, Doyen, HOI, Steven C. H.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/5096
https://ink.library.smu.edu.sg/context/sis_research/article/6099/viewcontent/1908.03673.pdf
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spelling sg-smu-ink.sis_research-60992020-04-09T06:51:54Z Recent advances in deep learning for object detection WU, Xiongwei SAHOO, Doyen HOI, Steven C. H. Object detection is a fundamental visual recognition problem in computer vision and has been widely studied in the past decades. Visual object detection aims to find objects of certain target classes with precise localization in a given image and assign each object instance a corresponding class label. Due to the tremendous successes of deep learning based image classification, object detection techniques using deep learning have been actively studied in recent years. In this paper, we give a comprehensive survey of recent advances in visual object detection with deep learning. By reviewing a large body of recent related work in literature, we systematically analyze the existing object detection frameworks and organize the survey into three major parts: (i) detection components, (ii) learning strategies, and (iii) applications & benchmarks. In the survey, we cover a variety of factors affecting the detection performance in detail, such as detector architectures, feature learning, proposal generation, sampling strategies, etc. Finally, we discuss several future directions to facilitate and spur future research for visual object detection with deep learning. 2020-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5096 info:doi/10.1016/j.neucom.2020.01.085 https://ink.library.smu.edu.sg/context/sis_research/article/6099/viewcontent/1908.03673.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Deep convolutional neural networks Deep learning Object detection Databases and Information Systems OS and Networks
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Deep convolutional neural networks
Deep learning
Object detection
Databases and Information Systems
OS and Networks
spellingShingle Deep convolutional neural networks
Deep learning
Object detection
Databases and Information Systems
OS and Networks
WU, Xiongwei
SAHOO, Doyen
HOI, Steven C. H.
Recent advances in deep learning for object detection
description Object detection is a fundamental visual recognition problem in computer vision and has been widely studied in the past decades. Visual object detection aims to find objects of certain target classes with precise localization in a given image and assign each object instance a corresponding class label. Due to the tremendous successes of deep learning based image classification, object detection techniques using deep learning have been actively studied in recent years. In this paper, we give a comprehensive survey of recent advances in visual object detection with deep learning. By reviewing a large body of recent related work in literature, we systematically analyze the existing object detection frameworks and organize the survey into three major parts: (i) detection components, (ii) learning strategies, and (iii) applications & benchmarks. In the survey, we cover a variety of factors affecting the detection performance in detail, such as detector architectures, feature learning, proposal generation, sampling strategies, etc. Finally, we discuss several future directions to facilitate and spur future research for visual object detection with deep learning.
format text
author WU, Xiongwei
SAHOO, Doyen
HOI, Steven C. H.
author_facet WU, Xiongwei
SAHOO, Doyen
HOI, Steven C. H.
author_sort WU, Xiongwei
title Recent advances in deep learning for object detection
title_short Recent advances in deep learning for object detection
title_full Recent advances in deep learning for object detection
title_fullStr Recent advances in deep learning for object detection
title_full_unstemmed Recent advances in deep learning for object detection
title_sort recent advances in deep learning for object detection
publisher Institutional Knowledge at Singapore Management University
publishDate 2020
url https://ink.library.smu.edu.sg/sis_research/5096
https://ink.library.smu.edu.sg/context/sis_research/article/6099/viewcontent/1908.03673.pdf
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