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In this paper, we propose a novel face detection network with three novel contributions that address three key aspects of face detection, including better feature learning, progressive loss design and anchor assign based data augmentation, respectively.
Learning object detection from a small number of examples: the importance of good features
Kobi Levi and Yair Weiss · 2004
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Robust real-time face detection
Paul Viola and Michael J Jones · 2004
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Yet even faster (yef) real-time object detection
Yotam Abramson, Bruno Steux, and Hicham Ghorayeb · 2007
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Fddb: A benchmark for face detection in unconstrained settings
Vidit Jain and Erik Learned-Miller · 2010
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Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Overfeat: Integrated recognition, localization and detection using convolutional networks
Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, and Yann LeCun · 2014
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Fast r-cnn
Ross Girshick · 2015
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Hypercolumns for object segmentation and fine-grained localization
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2015
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A convolutional neural network cascade for face detection
Haoxiang Li, Zhe Lin, Xiaohui Shen, Jonathan Brandt, and Gang Hua · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 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
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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
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R-fcn: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
Cited alongside, same era.
Parsenet: Looking wider to see better
Wei Liu, Andrew Rabinovich, and Alexander Berg · 2016
Cited alongside, same era.
Wider face: A face detection benchmark
Shuo Yang, Ping Luo, Chen-Change Loy, and Xiaoou Tang · 2016
Cited alongside, same era.
Joint face detection and alignment using multitask cascaded convolutional networks
Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao · 2016
Cited alongside, same era.
Detecting faces using region-based fully convolutional networks
Yitong Wang, Xing Ji, Zheng Zhou, Hao Wang, and Zhifeng Li · 2017
Later among the works it cites.
Nuclear norm based matrix regression with applications to face recognition with occlusion and illumination changes
Jian Yang, Lei Luo, Jianjun Qian, Ying Tai, Fanlong Zhang, and Yong Xu · 2017
Later among the works it cites.
Feature agglomeration networks for single stage face detection
Jialiang Zhang, Xiongwei Wu, Jianke Zhu, and Steven CH Hoi · 2017
Later among the works it cites.
Fsrnet: End-to-end learning face super-resolution with facial priors
Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, and Jian Yang · 2018
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, and Stefanos Zafeiriou · 2018
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Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, and Kevin Murphy · 2017
Cited alongside, same era.
Object detection via feature fusion based single network
Jian Li, Jianjun Qian, and Jian Yang · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B Girshick, Kaiming He, Bharath Hariharan, and Serge J Belongie · 2017
Cited alongside, same era.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
Cited alongside, same era.
Ssh: Single stage headless face detector
Mahyar Najibi, Pouya Samangouei, Rama Chellappa, and Larry S Davis · 2017
Cited alongside, same era.
Hao Wang, Zhifeng Li, Xing Ji, and Yitong Wang · 2017
Cited alongside, same era.
Closest in time.
Detnet: A backbone network for object detection
Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, and Jian Sun · 2018
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Receptive field block net for accurate and fast object detection
Songtao Liu, Di Huang, and Yunhong Wang · 2018
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Pyramidbox: A context-assisted single shot face detector
Xu Tang, Daniel K Du, Zeqiang He, and Jingtuo Liu · 2018
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Repulsion loss: Detecting pedestrians in a crowd
Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, and Chunhua Shen · 2018
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Face detection using improved faster rcnn
Changzheng Zhang, Xiang Xu, and Dandan Tu · 2018
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Selective refinement network for high performance face detection
Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z Li, and Xudong Zou · 2019
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Towards highly accurate and stable face alignment for high-resolution videos
Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, and Yu Chen · 2019
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