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Object detection
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of…
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Related topics
Related topics
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Ant robotics
CellCognition
Computer vision
Deep learning
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
Deng-Ping Fan
,
Jiangjiang Liu
,
Shanghua Gao
,
Qibin Hou
,
A. Borji
,
Ming-Ming Cheng
European Conference on Computer Vision
2018
Corpus ID: 3965889
We provide a comprehensive evaluation of salient object detection (SOD) models. Our analysis identifies a serious design bias of…
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Highly Cited
2016
Highly Cited
2016
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava
,
R. Sukthankar
,
Jitendra Malik
,
A. Gupta
arXiv.org
2016
Corpus ID: 13123786
In recent years, we have seen tremendous progress in the field of object detection. Most of the recent improvements have been…
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Highly Cited
2016
Highly Cited
2016
Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection
Yu Xiang
,
Wongun Choi
,
Yuanqing Lin
,
S. Savarese
IEEE Workshop/Winter Conference on Applications…
2016
Corpus ID: 8680109
In Convolutional Neural Network (CNN)-based object detection methods, region proposal becomes a bottleneck when objects exhibit…
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Highly Cited
2015
Highly Cited
2015
Salient object detection via bootstrap learning
Na Tong
,
Huchuan Lu
,
Xiang Ruan
,
Ming-Hsuan Yang
Computer Vision and Pattern Recognition
2015
Corpus ID: 883053
We propose a bootstrap learning algorithm for salient object detection in which both weak and strong models are exploited. First…
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Highly Cited
2014
Highly Cited
2014
Scalable, High-Quality Object Detection
Christian Szegedy
,
Scott E. Reed
,
D. Erhan
,
Dragomir Anguelov
arXiv.org
2014
Corpus ID: 17718521
Current high-quality object detection approaches use the scheme of salience-based object proposal methods followed by post…
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Highly Cited
2013
Highly Cited
2013
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection
Joseph J. Lim
,
C. L. Zitnick
,
Piotr Dollár
IEEE Conference on Computer Vision and Pattern…
2013
Corpus ID: 2792395
We propose a novel approach to both learning and detecting local contour-based representations for mid-level features. Our…
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Highly Cited
2012
Highly Cited
2012
Crowdsourcing Annotations for Visual Object Detection
Hao Su
,
Jia Deng
,
Li Fei-Fei
HCOMP@AAAI
2012
Corpus ID: 3621240
A large number of images with ground truth object bounding boxes are critical for learning object detectors, which is a…
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Highly Cited
2011
Highly Cited
2011
Fusing generic objectness and visual saliency for salient object detection
Kai-Yueh Chang
,
Tyng-Luh Liu
,
Hwann-Tzong Chen
,
S. Lai
Vision
2011
Corpus ID: 3153948
We present a novel computational model to explore the relatedness of objectness and saliency, each of which plays an important…
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Review
2008
Review
2008
Moving Object Detection in Spatial Domain using Background Removal Techniques - State-of-Art
Shireen Elhabian
,
Khaled M. El-Sayed
,
Sumaya H. Ahmed
2008
Corpus ID: 7514147
Identifying moving objects is a critical task for many computer vision applications; it provides a classification of the pixels…
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Highly Cited
1999
Highly Cited
1999
Real-time object detection for "smart" vehicles
D. Gavrila
,
V. Philomin
Proceedings of the Seventh IEEE International…
1999
Corpus ID: 766556
This paper presents an efficient shape-based object detection method based on Distance Transforms and describes its use for real…
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