Fetching the paper…
Reading the bibliography…
Detection identifies objects as axis-aligned boxes in an image.
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.
Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
Earlier work this paper cites.
Tracking-learning-detection
Z. Kalal, K. Mikolajczyk, and J. Matas · 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.
Depth map prediction from a single image using a multi-scale deep network
D. Eigen, C. Puhrsch, and R. Fergus · 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.
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.
Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
Earlier work this paper cites.
Vqa: Visual question answering
S. Antol, A. Agrawal, J. Lu, M. Mitchell, D. Batra, C. Lawrence Zitnick, and D. Parikh · 2015
Earlier work this paper cites.
3d object proposals for accurate object class detection
X. Chen, K. Kundu, Y. Zhu, A. G. Berneshawi, H. Ma, S. Fidler, and R. Urtasun · 2015
Earlier work this paper cites.
Fast r-cnn
R. Girshick · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 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.
Monocular 3d object detection for autonomous driving
X. Chen, K. Kundu, Z. Zhang, H. Ma, S. Fidler, and R. Urtasun · 2016
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.
Quo vadis, action recognition? a new model and the kinetics dataset
J. Carreira and A. Zisserman · 2017
Cited alongside, same era.
Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image
F. Chabot, M. Chaouch, J. Rabarisoa, C. Teuliere, and T. Chateau · 2017
Cited alongside, same era.
An implementation of faster rcnn with study for region sampling
X. Chen and A. Gupta · 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.
RMPE: Regional multi-person pose estimation
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.
Joint monocular 3d vehicle detection and tracking
H.-N. Hu, Q.-Z. Cai, D. Wang, J. Lin, M. Sun, P. Krähenbühl, T. Darrell, and F. Yu · 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
Later among the works it cites.
3d-rcnn: Instance-level 3d object reconstruction via render-and-compare
A. Kundu, Y. Li, and J. M. Rehg · 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.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
H.-S. Fang, S. Xie, Y.-W. Tai, and C. Lu · 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.
Accurate, large minibatch sgd: Training imagenet in 1 hour
P. Goyal, P. Dollár, R. Girshick, P. Noordhuis, L. Wesolowski, A. Kyrola, A. Tulloch, Y. Jia, and K. He · 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.
Fully convolutional instance-aware semantic segmentation
Y. Li, H. Qi, J. Dai, X. Ji, and Y. Wei · 2017
Cited alongside, same era.
S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia · 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.
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.
SNIPER: Efficient multi-scale training
B. Singh, M. Najibi, and L. S. Davis · 2018
Later among the works it cites.
Integral human pose regression
X. Sun, B. Xiao, F. Wei, S. Liang, and Y. Wei · 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.
Attention-aware compositional network for person re-identification
J. Xu, R. Zhao, F. Zhu, H. Wang, and W. Ouyang · 2018
Later among the works it cites.
Deep layer aggregation
F. Yu, D. Wang, E. Shelhamer, and T. Darrell · 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.
Deformable convnets v2: More deformable, better results
X. Zhu, H. Hu, S. Lin, and J. Dai · 2018
Later among the works it cites.
Scale-aware trident networks for object detection
Y. Li, Y. Chen, N. Wang, and Z. Zhang · 2019
Closest in time.
Deep object centric policies for autonomous driving
D. Wang, C. Devin, Q.-Z. Cai, F. Yu, and T. Darrell · 2019
Closest in time.
Bottom-up object detection by grouping extreme and center points
X. Zhou, J. Zhuo, and P. Krähenbühl · 2019
Closest in time.
Feature selective anchor-free module for single-shot object detection
C. Zhu, Y. He, and M. Savvides · 2019
Closest in time.