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SSD (Single Shot Multibox Detector) is one of the best object detection algorithms with both high accuracy and fast speed.
The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
Earlier work this paper cites.
Overfeat: Integrated recognition, localization and detection using convolutional networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2013
Earlier work this paper cites.
Selective search for object recognition
J. R. R. Uijlings, K. E. A. van de Sande, T. Gevers, and A. W. M. Smeulders · 2013
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.
Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
Edge boxes: Locating object proposals from edges
L. Zitnick and P. Dollar · 2014
Earlier work this paper cites.
Fast r-cnn
R. Girshick · 2015
Earlier work this paper cites.
Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Earlier work this paper cites.
Parsenet: Looking wider to see better
W. Liu, A. Rabinovich, and A. C. Berg · 2015
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 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.
U-Net: Convolutional Networks for Biomedical Image Segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks
S. Bell, C. Lawrence Zitnick, K. Bala, and R. Girshick · 2016
Cited alongside, same era.
R-fcn: Object detection via region-based fully convolutional networks
Learning to refine object segments
P. O. Pinheiro, T.-Y. Lin, R. Collobert, and P. Dollár · 2016
Later among the works it cites.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Later among the works it cites.
R-CNN for Small Object Detection
C. Chen, M.-Y. Liu, O. Tuzel, and J. Xiao · 2017
Closest in time.
Deformable convolutional networks
J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei · 2017
Closest in time.
BlitzNet: A real-time deep network for scene understanding
N. Dvornik, K. Shmelkov, J. Mairal, and C. Schmid · 2017
Closest in time.
DSSD : Deconvolutional single shot detector
C. Fu, W. Liu, A. Ranga, A. Tyagi, and A. C. Berg · 2017
Closest in time.
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J. Dai, Y. Li, K. He, and J. Sun · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Hypernet: Towards accurate region proposal generation and joint object detection
T. Kong, A. Yao, Y. Chen, and F. Sun · 2016
Cited alongside, same era.
Feature pyramid networks for object detection
T. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2016
Cited alongside, same era.
SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Fu, and A. Berg · 2016
Cited alongside, same era.
Stacked Hourglass Networks for Human Pose Estimation
A. Newell, K. Yang, and J. Deng · 2016
Cited alongside, same era.
Mask r-cnn
K. He, G. Gkioxari, P. Dollar, and R. Girshick · 2017
Closest in time.
Densely connected convolutional networks
G. Huang, Z. Liu, L. van der Maaten, and K. Q. Weinberger · 2017
Closest in time.
Enhancement of SSD by concatenating feature maps for object detection
J. Jeong, H. Park, and N. Kwak · 2017
Closest in time.
Yolo9000: Better, faster, stronger
J. Redmon and A. Farhadi · 2017
Closest in time.
Dsod: Learning deeply supervised object detectors from scratch
Z. Shen, Z. Liu, J. Li, Y.-G. Jiang, Y. Chen, and X. Xue · 2017
Closest in time.