End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression

Gradient-based learning applied to document recognition

Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998

Earlier work this paper cites.

Histograms of oriented gradients for human detection

N. Dalal and B. Triggs · 2005

Earlier work this paper cites.

Active mask hierarchies for object detection

Y. Chen, L. Zhu, and A. L. Yuille · 2010

Earlier work this paper cites.

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 discriminatively trained part based models

P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010

Earlier work this paper cites.

Latent hierarchical structural learning for object detection

Original

L. L. Zhu, Y. Chen, A. Yuille, and W. Freeman · 2010

Earlier work this paper cites.

Discriminative models for multi-class object layout

C. Desai, D. Ramanan, and C. Fowlkes · 2011

Earlier work this paper cites.

Human-debugging of machines

D. Parikh and C. L. Zitnick · 2011

Cited alongside, same era.

The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results

M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012

Cited alongside, same era.

Imagenet classification with deep convolutional neural networks

A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012

Cited alongside, same era.

Rich feature hierarchies for accurate object detection and semantic segmentation

Original

R. B. Girshick, J. Donahue, T. Darrell, and J. Malik · 2013

Cited alongside, same era.

Histograms of sparse codes for object detection

X. Ren and D. Ramanan · 2013

Cited alongside, same era.

Overfeat: Integrated recognition, localization and detection using convolutional networks

Deep neural networks for object detection

C. Szegedy, A. Toshev, and D. Erhan · 2013

Later among the works it cites.

Selective search for object recognition

J. Uijlings, K. Sande, T. Gevers, and A. Smeulders · 2013

Later among the works it cites.

Regionlets for generic object detection

X. Wang, M. Yang, S. Zhu, and Y. Lin · 2013

Later among the works it cites.

Visualizing and understanding convolutional networks

Original

M. D. Zeiler and R. Fergus · 2013

Later among the works it cites.

Deformable part models are convolutional neural networks

Original

R. B. Girshick, F. N. Iandola, T. Darrell, and J. Malik · 2014

Closest in time.

Joint training of a convolutional network and a graphical model for human pose estimation