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Convolutional Neural Networks (CNNs) can provide accurate object classification.
Backpropagation applied to handwritten zip code recognition
LeCun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel., L.D.: · 1989
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Original approach for the localisation of objects in images
Vaillant, R., Monrocq, C., LeCun, Y.: · 1994
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Histograms of oriented gradients for human detection
Dalal, N., Triggs, B.: · 2005
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ImageNet: A Large-Scale Hierarchical Image Database
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: · 2009
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Object Detection with Discriminatively Trained Part Based Models
Felzenszwalb, P., Girshick, R., McAllester, D., Ramanan, D.: · 2010
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The Pascal Visual Object Classes (VOC) Challenge
Everingham, M., Gool, L.J.V., Williams, C.K.I., Winn, J.M., Zisserman, A.: · 2010
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Describing People: Poselet-Based Approach to Attribute Classification
Bourdev, L., Maji, S., Malik, J.: · 2011
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Torch7: A Matlab-like Environment for Machine Learning
Collobert, R., Kavukcuoglu, K., Farabet, C.: · 2011
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ImageNet Classification with Deep Convolutional Neural Networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
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Scene parsing with multiscale feature learning, purity trees, and optimal covers
Farabet, C., Couprie, C., Najman, L., LeCun, Y.: · 2012
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Exact Acceleration of Linear Object Detectors
Dubout, C., Fleuret, F.: · 2012
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DeCAF: a deep convolutional activation feature for generic visual recognition
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., Darrell, T.: · 2013
Deep neural networks for object detection
Christian Szegedy, Alexander Toshev, D.E.: · 2013
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Overfeat: Integrated recognition, localization and detection using convolutional networks
Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., LeCun, Y.: · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, R.B., Donahue, J., Darrell, T., Malik, J.: · 2013
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Selective search for object recognition
Uijlings, J.R.R., van de Sande, K.E.A., Gevers, T., Smeulders, A.W.M.: · 2013
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Fast image scanning with deep max-pooling convolutional neural networks
Giusti, A., Ciresan, D.C., Masci, J., Gambardella, L.M., Schmidhuber, J.: · 2013
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Human body part estimation from depth images via spatially-constrained deep learning
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Cited alongside, same era.
Caffe: An open source convolutional architecture for fast feature embedding
Jia, Y., et al.:
Cited in the paper.
Clarifai
Zeiler, M.:
Cited in the paper.
Discriminatively trained deformable part models, release 5 ( voc-release5
Girshick, R.B., Felzenszwalb, P.F., McAllester, D.:
Cited in the paper.
Jiu, M., Wolf, C., Taylor, G.W., Baskurt, A.: · 2014
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