Fetching the paper…
Reading the bibliography…
With the advent of deep learning, object detection drifted from a bottom-up to a top-down recognition problem.
Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
Earlier work this paper cites.
Object detection with grammar models
R. B. Girshick, P. F. Felzenszwalb, and D. A. Mcallester · 2011
Earlier work this paper cites.
Semantic contours from inverse detectors
B. Hariharan, P. Arbelaez, L. Bourdev, S. Maji, and J. Malik · 2011
Earlier work this paper cites.
The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
Earlier work this paper cites.
Crowdsourcing annotations for visual object detection
H. Su, J. Deng, and L. Fei-Fei · 2012
Earlier work this paper cites.
Selective search for object recognition
J. R. Uijlings, K. E. Van De Sande, T. Gevers, and A. W. 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.
Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 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.
Fast r-cnn
R. Girshick · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Earlier work this paper cites.
R-fcn: Object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Earlier work this paper cites.
Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
Earlier work this paper cites.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Earlier work this paper cites.
Soft-nms—improving object detection with one line of code
N. Bodla, B. Singh, R. Chellappa, and L. S. Davis · 2017
Earlier work this paper cites.
Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh · 2017
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.-Y. 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.
Learning non-maximum suppression
J. H. Hosang, R. Benenson, and B. Schiele · 2017
Cited alongside, same era.
Speed/accuracy trade-offs for modern convolutional object detectors
J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama, et al · 2017
Cited alongside, same era.
Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2017
Later among the works it cites.
Couplenet: Coupling global structure with local parts for object detection
Y. Zhu, C. Zhao, J. Wang, X. Zhao, Y. Wu, H. Lu, et al · 2017
Later among the works it cites.
Cascade r-cnn: Delving into high quality object detection
Z. Cai and N. Vasconcelos · 2018
Later among the works it cites.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2018
Later among the works it cites.
Cascaded pyramid network for multi-person pose estimation
Y. Chen, Z. Wang, Y. Peng, Z. Zhang, G. Yu, and J. Sun · 2018
Later among the works it cites.
Acquisition of localization confidence for accurate object detection
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Light-head r-cnn: In defense of two-stage object detector
Z. Li, C. Peng, G. Yu, X. Zhang, Y. Deng, and J. Sun · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2017
Cited alongside, same era.
Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
Cited alongside, same era.
Associative embedding: End-to-end learning for joint detection and grouping
A. Newell, Z. Huang, and J. Deng · 2017
Cited alongside, same era.
Extreme clicking for efficient object annotation
D. P. Papadopoulos, J. R. Uijlings, F. Keller, and V. Ferrari · 2017
Cited alongside, same era.
Towards accurate multi-person pose estimation in the wild
G. Papandreou, T. Zhu, N. Kanazawa, A. Toshev, J. Tompson, C. Bregler, and K. Murphy · 2017
Cited alongside, same era.
B. Jiang, R. Luo, J. Mao, T. Xiao, and Y. Jiang · 2018
Later among the works it cites.
Cornernet: Detecting objects as paired keypoints
H. Law and J. Deng · 2018
Later among the works it cites.
Path aggregation network for instance segmentation
S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia · 2018
Later among the works it cites.
Deep extreme cut: From extreme points to object segmentation
K. Maninis, S. Caelles, J. Pont-Tuset, and L. Van Gool · 2018
Later among the works it cites.
Pose partition networks for multi-person pose estimation
X. Nie, J. Feng, J. Xing, and S. Yan · 2018
Later among the works it cites.
Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model
G. Papandreou, T. Zhu, L.-C. Chen, S. Gidaris, J. Tompson, and K. Murphy · 2018
Later among the works it cites.
Megdet: A large mini-batch object detector
C. Peng, T. Xiao, Z. Li, Y. Jiang, X. Zhang, K. Jia, G. Yu, and J. Sun · 2018
Later among the works it cites.
Yolov3: An incremental improvement
J. Redmon and A. Farhadi · 2018
Later among the works it cites.
An analysis of scale invariance in object detection–snip
B. Singh and L. S. Davis · 2018
Later among the works it cites.
Simple baselines for human pose estimation and tracking
B. Xiao, H. Wu, and Y. Wei · 2018
Later among the works it cites.
Deep regionlets for object detection
H. Xu, X. Lv, X. Wang, Z. Ren, N. Bodla, and R. Chellappa · 2018
Later among the works it cites.
Single-shot refinement neural network for object detection
S. Zhang, L. Wen, X. Bian, Z. Lei, and S. Z. Li · 2018
Later among the works it cites.
Starmap for category-agnostic keypoint and viewpoint estimation
X. Zhou, A. Karpur, L. Luo, and Q. Huang · 2018
Later among the works it cites.