Fetching the paper…
Reading the bibliography…
Convolutional neural nets (convnets) trained from massive labeled datasets have substantially improved the state-of-the-art in image classification and object detection.
Backpropagation applied to hand-written zip code recognition
Y. LeCun, B. Boser, J.S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel · 1989
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Object recognition from local scale-invariant features
D.G. Lowe · 1999
Earlier work this paper cites.
SciPy: Open source scientific tools for Python, 2001
E. Jones, T. Oliphant, P. Peterson, et al · 2001
Earlier work this paper cites.
Distance transforms of sampled functions
P. Felzenszwalb and D. Huttenlocher · 2004
Earlier work this paper cites.
Efficient belief propagation for early vision
P. Felzenszwalb and D. P. Huttenlocher · 2006
Earlier work this paper cites.
Unsupervised joint alignment of complex images
G. B. Huang, V. Jain, and E. Learned-Miller · 2007
Earlier work this paper cites.
VLFeat: An open and portable library of computer vision algorithms
A. Vedaldi and B. Fulkerson · 2008
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Poselets: Body part detectors trained using 3d human pose annotations
L. Bourdev and J. Malik · 2009
Earlier work this paper cites.
The PASCAL Visual Object Classes Challenge 2011 (VOC2011) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2011
Earlier work this paper cites.
Sift flow: Dense correspondence across scenes and its applications
C. Liu, J. Yuen, and A. Torralba · 2011
Earlier work this paper cites.
Localizing parts of faces using a consensus of exemplars
P. N. Belhumeur, D. W. Jacobs, D. J. Kriegman, and N. Kumar · 2011
Cited alongside, same era.
Articulated pose estimation using flexible mixtures of parts
Y. Yang and D. Ramanan · 2011
Cited alongside, same era.
Articulated part-based model for joint object detection and pose estimation
M. Sun and S. Savarese · 2011
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
Cited alongside, same era.
Learning to align from scratch
G. B. Huang, M. A. Mattar, H. Lee, and E. Learned-Miller · 2012
Cited alongside, same era.
Face detection, pose estimation, and landmark localization in the wild
X. Zhu and D. Ramanan · 2012
Cited alongside, same era.
Selective search for object recognition
J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders · 2013
Later among the works it cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Closest in time.
https://plus.google.com/+YannLeCunPhD/posts/JBBFfv2XgWM
Debate on Yann LeCun’s Google+ page · 2014
Closest in time.
Using k-poselets for detecting people and localizing their keypoints
G. Gkioxari, B. Hariharan, R. Girshick, and J. Malik · 2014
Closest in time.
DeCAF: A deep convolutional activation feature for generic visual recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell · 2014
Closest in time.
DeepPose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Bird part localization using exemplar-based models with enforced pose and subcategory consistenty
J. Liu and P. N. Belhumeur · 2013
Cited alongside, same era.
POOF: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation
T. Berg and P. N. Belhumeur · 2013
Cited alongside, same era.
Articulated pose estimation using discriminative armlet classifiers
G. Gkioxari, P. Arbelaez, L. Bourdev, and J. Malik · 2013
Cited alongside, same era.
Pedestrian detection with unsupervised multi-stage feature learning
P. Sermanet, K. Kavukcuoglu, S. Chintala, and Y. LeCun · 2013
Cited alongside, same era.
HOGgles: Visualizing Object Detection Features
C. Vondrick, A. Khosla, T. Malisiewicz, and A. Torralba · 2013
Cited alongside, same era.
Articulated human detection with flexible mixtures of parts
Y. Yang and D. Ramanan · 2013
Cited alongside, same era.
Learning human pose estimation features with convolutional networks
A. Jain, J. Tompson, M. Andriluka, G. W. Taylor, and C. Bregler · 2014
Closest in time.
Visualizing and understanding convolutional neural networks
M. D Zeiler and R. Fergus · 2014
Closest in time.
Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2014
Closest in time.
Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT
P. Fischer, A. Dosovitskiy, and T. Brox · 2014
Closest in time.
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
Closest in time.
Overfeat: Integrated recognition, localization and detection using convolutional networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2014
Closest in time.