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Multispectral pedestrian detection has attracted increasing attention from the research community due to its crucial competence for many around-the-clock applications (e.g., video surveillance and autonomous driving), especially under insufficient illumination conditions.
Semantic object classes in video: A high-definition ground truth database
Gabriel J Brostow, Julien Fauqueur, and Roberto Cipolla · 2009
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Quickly boosting decision trees–pruning underachieving features early
Ron Appel, Thomas Fuchs, Piotr Dollár, and Pietro Perona · 2013
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Min Lin, Qiang Chen, and Shuicheng Yan · 2013
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Ten years of pedestrian detection, what have we learned?
Rodrigo Benenson, Mohamed Omran, Jan Hosang, and Bernt Schiele · 2014
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Fast feature pyramids for object detection
Piotr Dollár, Ron Appel, Serge Belongie, and Pietro Perona · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Fast r-cnn
Ross Girshick · 2015
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Multispectral pedestrian detection: Benchmark dataset and baseline
Soonmin Hwang, Jaesik Park, Namil Kim, Yukyung Choi, and In So Kweon · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Cited alongside, same era.
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al · 2016
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A unified multi-scale deep convolutional neural network for fast object detection
Zhaowei Cai, Quanfu Fan, Rogerio S Feris, and Nuno Vasconcelos · 2016
Cited alongside, same era.
Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks
Hangil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn · 2016
Cited alongside, same era.
The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
Illuminating pedestrians via simultaneous detection & segmentation
Garrick Brazil, Xi Yin, and Xiaoming Liu · 2017
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Fused dnn: A deep neural network fusion approach to fast and robust pedestrian detection
Xianzhi Du, Mostafa El-Khamy, Jungwon Lee, and Larry Davis · 2017
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Fully convolutional region proposal networks for multispectral person detection
Daniel König, Michael Adam, Christian Jarvers, Georg Layher, Heiko Neumann, and Michael Teutsch · 2017
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What can help pedestrian detection?
Jiayuan Mao, Tete Xiao, Yuning Jiang, and Zhimin Cao · 2017
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Citypersons: A diverse dataset for pedestrian detection
Shanshan Zhang, Rodrigo Benenson, and Bernt Schiele · 2017
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Cited alongside, same era.
Semantic channels for fast pedestrian detection
Arthur Daniel Costea and Sergiu Nedevschi · 2016
Cited alongside, same era.
Multispectral deep neural networks for pedestrian detection
Shu Wang Jingjing Liu, Shaoting Zhang and Dimitris Metaxas · 2016
Cited alongside, same era.
Human detection from images and videos: A survey
Duc Thanh Nguyen, Wanqing Li, and Philip O Ogunbona · 2016
Cited alongside, same era.
Multispectral pedestrian detection using deep fusion convolutional neural networks
Jörg Wagner, Volker Fischer, Michael Herman, and Sven Behnke · 2016
Cited alongside, same era.
Is faster r-cnn doing well for pedestrian detection?
Liliang Zhang, Liang Lin, Xiaodan Liang, and Kaiming He · 2016
Cited alongside, same era.
Illumination-aware faster r-cnn for robust multispectral pedestrian detection
Chengyang Li, Dan Song, Ruofeng Tong, and Min Tang
Cited in the paper.
Scale-aware fast r-cnn for pedestrian detection
Jianan Li, Xiaodan Liang, ShengMei Shen, Tingfa Xu, Jiashi Feng, and Shuicheng Yan
Cited in the paper.
Dayan Guan, Yanpeng Cao, Jun Liang, Yanlong Cao, and Michael Ying Yang · 2018
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Pushing the limits of deep cnns for pedestrian detection
Qichang Hu, Peng Wang, Chunhua Shen, Anton van den Hengel, and Fatih Porikli · 2018
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Improved annotations of test set of kaist
Jingjing Liu, Shaoting Zhang, Shu Wang, and Dimitris Metaxas · 2018
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Unified multi-spectral pedestrian detection based on probabilistic fusion networks
Kihong Park, Seungryong Kim, and Kwanghoon Sohn · 2018
Closest in time.