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Face detection has received intensive attention in recent years.
“Robust real-time face detection”
Paul Viola and Michael Jones · 2001
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“Distinctive image features from scale-invariant keypoints”
David Lowe · 2004
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“Histograms of oriented gradients for human detection”
Navneet Dalal and Bill Triggs · 2005
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“A discriminatively trained, multiscale, deformable part model”
Pedro Felzenszwalb, David McAllester and Deva Ramanan · 2008
Earlier work this paper cites.
“Rich feature hierarchies for accurate object detection and semantic segmentation”
Ross Girshick, Jeff Donahue, Trevor Darrell and Jitendra Malik · 2014
Earlier work this paper cites.
“Microsoft coco: Common objects in context”
Tsung-Yi Lin et al · 2014
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“Very deep convolutional networks for large-scale image recognition”
Karen Simonyan and Andrew Zisserman · 2014
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“Aggregate channel features for multi-view face detection”
Bin Yang, Junjie Yan, Zhen Lei and Stan Li · 2014
Earlier work this paper cites.
“Edge boxes: Locating object proposals from edges”
C Zitnick and Piotr Dollár · 2014
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“Fast r-cnn”
Ross Girshick · 2015
Earlier work this paper cites.
“Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift”
Sergey Ioffe and Christian Szegedy · 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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“Going deeper with convolutions”
Christian Szegedy et al · 2015
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“From facial parts responses to face detection: A deep learning approach”
Shuo Yang, Ping Luo, Chen-Change Loy and Xiaoou Tang · 2015
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“A unified multi-scale deep convolutional neural network for fast object detection”
Zhaowei Cai, Quanfu Fan, Rogerio Feris and Nuno Vasconcelos · 2016
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“Deep residual learning for image recognition”
Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun · 2016
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“Ssd: Single shot multibox detector”
Wei Liu et al · 2016
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“To boost or not to boost? on the limits of boosted trees for object detection”
Eshed Ohn-Bar and Mohan Trivedi · 2016
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“You only look once: Unified, real-time object detection”
Joseph Redmon, Santosh Divvala, Ross Girshick and Ali Farhadi · 2016
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“Wider face: A face detection benchmark”
Shuo Yang, Ping Luo, Chen-Change Loy and Xiaoou Tang · 2016
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“Joint face detection and alignment using multitask cascaded convolutional networks”
Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li and Yu Qiao · 2016
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“Deformable convolutional networks”
Jifeng Dai et al · 2017
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“Mask r-cnn”
Kaiming He, Georgia Gkioxari, Piotr Dollár and Ross Girshick · 2017
Cited alongside, same era.
“Finding Tiny Faces”
Peiyun Hu and Deva Ramanan · 2017
Cited alongside, same era.
“Imagenet classification with deep convolutional neural networks”
Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton · 2017
Cited alongside, same era.
“Feature pyramid networks for object detection”
Tsung-Yi Lin et al · 2017
Cited alongside, same era.
“Focal loss for dense object detection”
Tsung-Yi Lin et al · 2017
Cited alongside, same era.
“SSH: Single Stage Headless Face Detector”
Mahyar Najibi, Pouya Samangouei, Rama Chellappa and Larry. Davis · 2017
Cited alongside, same era.
“YOLO9000: better, faster, stronger”
“Seeing Small Faces From Robust Anchor’s Perspective”
Chenchen Zhu, Ran Tao, Khoa Luu and Marios Savvides · 2018
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“Selective refinement network for high performance face detection”
Cheng Chi et al · 2019
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“Retinaface: Single-stage dense face localisation in the wild”
Jiankang Deng et al · 2019
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“Face Detection with Feature Pyramids and Landmarks”
Samuel Earp, Pavit Noinongyao, Justin Cairns and Ankush Ganguly · 2019
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“DSFD: Dual Shot Face Detector”
Jian Li et al · 2019
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“Pyramidbox++: High performance detector for finding tiny face”
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Joseph Redmon and Ali Farhadi · 2017
Cited alongside, same era.
Hao Wang, Zhifeng Li, Xing Ji and Yitong Wang · 2017
Cited alongside, same era.
“Face attention network: An effective face detector for the occluded faces”
Jianfeng Wang, Ye Yuan and Gang Yu · 2017
Cited alongside, same era.
“Detecting faces using region-based fully convolutional networks”
Yitong Wang et al · 2017
Cited alongside, same era.
“Face detection through scale-friendly deep convolutional networks”
Shuo Yang, Yuanjun Xiong, Chen Loy and Xiaoou Tang · 2017
Cited alongside, same era.
“S3fd: Single shot scale-invariant face detector”
Shifeng Zhang et al · 2017
Cited alongside, same era.
Zhihang Li et al · 2019
Later among the works it cites.
“High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection”
Wei Liu et al · 2019
Later among the works it cites.
“FA-RPN: Floating Region Proposals for Face Detection”
Mahyar Najibi, Bharat Singh and Larry. Davis · 2019
Later among the works it cites.
“Generalized intersection over union: A metric and a loss for bounding box regression”
Hamid Rezatofighi et al · 2019
Later among the works it cites.
“Extd: Extremely tiny face detector via iterative filter reuse”
YoungJoon Yoo, Dongyoon Han and Sangdoo Yun · 2019
Later among the works it cites.
“Accurate face detection for high performance”
Faen Zhang et al · 2019
Later among the works it cites.
“Improved selective refinement network for face detection”
Shifeng Zhang et al · 2019
Later among the works it cites.
“Single-shot scale-aware network for real-time face detection”
Shifeng Zhang et al · 2019
Later among the works it cites.
“Robust and high performance face detector”
Yundong Zhang, Xiang Xu and Xiaotao Liu · 2019
Later among the works it cites.
“HAMBox: Delving Into Mining High-Quality Anchors on Face Detection”
Yang Liu et al · 2020
Closest in time.
“IoU-aware single-stage object detector for accurate localization”
Shengkai Wu, Xiaoping Li and Xinggang Wang · 2020
Closest in time.
“MaskFace: multi-task face and landmark detector”
Dmitry Yashunin, Tamir Baydasov and Roman Vlasov · 2020
Closest in time.
“ASFD: Automatic and Scalable Face Detector”
Bin Zhang et al · 2020
Closest in time.
“Feature agglomeration networks for single stage face detection”
Jialiang Zhang, Xiongwei Wu, Steven Hoi and Jianke Zhu · 2020
Closest in time.
“Refineface: Refinement neural network for high performance face detection”
Shifeng Zhang, Cheng Chi, Zhen Lei and Stan Li · 2020
Closest in time.
“Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression.”
Zhaohui Zheng et al · 2020
Closest in time.