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Recent researches attempt to improve the detection performance by adopting the idea of cascade for single-stage detectors.
Object recognition from local scale-invariant features
D. G. Lowe · 1999
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Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L. jia Li, K. Li, and L. Fei-fei · 2009
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The pascal visual object classes (voc) challenge
M. Everingham, L. Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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Object detection with discriminatively trained part based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Overfeat: Integrated recognition, localization and detection using convolutional networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. Lecun · 2014
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Deepproposal: Hunting objects by cascading deep convolutional layers
A. Ghodrati, A. Diba, M. Pedersoli, T. Tuytelaars, and L. Van Gool · 2015
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Fast r-cnn
R. Girshick · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
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You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Cited alongside, same era.
Beyond skip connections: Top-down modulation for object detection
A. Shrivastava, R. Sukthankar, J. Malik, and A. Gupta · 2016
Cited alongside, same era.
Deformable convolutional networks
J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei · 2017
Cited alongside, same era.
DSSD : Deconvolutional single shot detector
C. Fu, W. Liu, A. Ranga, A. Tyagi, and A. C. Berg · 2017
Cited alongside, same era.
Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Cited alongside, same era.
Speed/accuracy trade-offs for modern convolutional object detectors
Relation networks for object detection
H. Hu, J. Gu, Z. Zhang, J. Dai, and Y. Wei · 2018
Later among the works it cites.
Acquisition of localization confidence for accurate object detection
B. Jiang, R. Luo, J. Mao, T. Xiao, and Y. Jiang · 2018
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Cornernet: Detecting objects as paired keypoints
H. Law and J. Deng · 2018
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Yolov3: An incremental improvement
J. Redmon and A. Farhadi · 2018
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Deep regionlets for object detection
H. Xu, X. Lv, X. Wang, Z. Ren, N. Bodla, and R. Chellappa · 2018
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Single-shot refinement neural network for object detection
S. Zhang, L. Wen, X. Bian, Z. Lei, and S. Z. Li · 2018
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J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama, and K. Murphy · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
Cited alongside, same era.
Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollar · 2017
Cited alongside, same era.
Yolo9000: Better, faster, stronger
J. Redmon and A. Farhadi · 2017
Cited alongside, same era.
Cascade region proposal and global context for deep object detection
Q. Zhong, C. Li, Y. Zhang, D. Xie, S. Yang, and S. Pu · 2017
Cited alongside, same era.
Cascade r-cnn: Delving into high quality object detection
Z. Cai and N. Vasconcelos · 2018
Cited alongside, same era.
Revisiting rcnn: On awakening the classification power of faster rcnn
B. Cheng, Y. Wei, H. Shi, R. Feris, J. Xiong, and T. Huang · 2018
Cited alongside, same era.
Consistent optimization for single-shot object detection
T. Kong, F. Sun, H. Liu, Y. Jiang, and J. Shi · 2019
Closest in time.
Scale-aware trident networks for object detection
Y. Li, Y. Chen, N. Wang, and Z. Zhang · 2019
Closest in time.
WIDER face and pedestrian challenge 2018: Methods and results
C. C. Loy, D. Lin, W. Ouyang, Y. Xiong, S. Yang, Q. Huang, D. Zhou, W. Xia, Q. Li, P. Luo, et al · 2019
Closest in time.
Fa-rpn: Floating region proposals for face detection
M. Najibi, B. Singh, and L. S. Davis · 2019
Closest in time.
Generalized intersection over union: A metric and a loss for bounding box regression
H. Rezatofighi, N. Tsoi, J. Gwak, A. Sadeghian, I. Reid, and S. Savarese · 2019
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Region proposal by guided anchoring
J. Wang, K. Chen, S. Yang, C. C. Loy, and D. Lin · 2019
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