Fetching the paper…
Reading the bibliography…
Faster R-CNN is one of the most representative and successful methods for object detection, and has been becoming increasingly popular in various objection detection applications.
Robust real-time face detection
P. Viola and M. J. Jones · 2004
Earlier work this paper cites.
Fast human detection using a cascade of histograms of oriented gradients
Q. Zhu, M.-C. Yeh, K.-T. Cheng, and S. Avidan · 2006
Earlier work this paper cites.
Fast polygonal integration and its application in extending haarlike features to improve object detection
M. Pham, Y. Gao, V. Hoang, and T. Cham · 2010
Earlier work this paper cites.
FDDB: A benchmark for face detection in unconstrained settings
V. Jain and E. Learned-Miller · 2010
Earlier work this paper cites.
Face detection, pose estimation, and landmark localization in the wild
X. Zhu and D. Ramanan · 2012
Earlier work this paper cites.
Selective search for object recognition
J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders · 2013
Earlier work this paper cites.
Aggregate channel features for multi-view face detection
B. Yang, J. Yan, Z. Lei, and S. Z. Li · 2014
Earlier work this paper cites.
CMS-RCNN: Contextual multi-scale region-based cnn for unconstrained face detection
C. Zhu, Y. Zheng, K. Luu, and M. Savvides · 2014
Earlier work this paper cites.
Face detection without bells and whistles
M. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool · 2014
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
Deep learning face representation by joint identification-verification
Y. Sun, X. Wang, and X. Tang · 2014
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Cited alongside, same era.
A convolutional neural network cascade for face detection
H. Li, Z. Lin, X. Shen, J. Brandt, and G. Hua · 2015
Cited alongside, same era.
Fast R-CNN
R. Girshick and J. P. N. Fotheringham-Smythe and G. Gamow · 2015
Cited alongside, same era.
Region-based convolutional networks for accurate object detection and segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2015
Cited alongside, same era.
A deep pyramid deformable part model for face detection
R. Ranjan, V. M. Patel, and R. Chellappa · 2015
Cited alongside, same era.
Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
Unitbox: An advanced object detection network
J. Yu, Y. Jiang, Z. Wang, Z. Cao, and T. Huang · 2016
Later among the works it cites.
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
K. Zhang, Z. Zhang, Z. Li and Y. Qiao · 2016
Later among the works it cites.
Bootstrapping face detection with hard negative examples
S. Wan, Z. Chen, T. Zhang, B. Zhang, and K. Wong · 2016
Later among the works it cites.
Wider face: A face detection benchmark
S. Yang, P. Luo, C.-C. Loy, and X. Tang · 2016
Later among the works it cites.
Face Detection using Deep Learning: An Improved Faster RCNN Approach
X. Sun, P. Wu, and S. Hoi · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
From Facial Parts Responses to Face Detection: A Deep Learning Approach
S. Yang, P. Luo, C. C. Loy, X. Tang · 2015
Cited alongside, same era.
Training Region-based Object Detectors with Online Hard Example Mining
A. Shrivastava, A. Gupta, and R. Girshick · 2016
Cited alongside, same era.
To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection
E. Ohn-Bar and M. Trivedi · 2016
Cited alongside, same era.
Face detection with the Faster R-CNN
H. Jiang and E. Learned-Miller · 2016
Cited alongside, same era.
Joint training of cascaded cnn for face detection
H. Qin, J. Yan, X. Li, and X. Hu · 2016
Cited alongside, same era.
Y. Li, B. Sun, T. Wu, and Y. Wang · 2016
Later among the works it cites.
A Discriminative Feature Learning Approach for Deep Face Recognition
Y. Wen, K. Zhang, Z. Li, and Y. Qiao · 2016
Later among the works it cites.
Latent factor guided convolutional neural networks for age-invariant face recognition
Y. Wen, Z. Li, and Y. Qiao · 2016
Later among the works it cites.
K. He, G. Gkioxari, P. Doll¨¢r, and R. Girshick · 2017
Closest in time.
Finding Tiny Faces
P. Hu and D. Ramanan · 2017
Closest in time.
Feature Pyramid Networks for Object Detection
T. Lin, P. Doll¨¢r, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
Closest in time.