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Deep convolutional neural networks (CNN) has become the most promising method for object recognition, repeatedly demonstrating record breaking results for image classification and object detection in recent years.
Handwritten digit recognition with a back-propagation network
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Hamming embedding and weak geometric consistency for large-scale image search
Jegou, Herve, Douze, Matthijs, and Schmid, Cordelia · 2008
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Spectral hashing
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Approximate nearest neighbor search by residual vector quantization
Chen, Yongjian, Guan, Tao, and Wang, Cheng · 2010
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Product quantization for nearest neighbor search
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Improving the speed of neural networks on cpus
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Iterative quantization: A Procrustean approach to learning binary codes for large-scale image retrieval
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Imagenet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
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Accelerating deep neural networks on mobile processor with embedded programmable logic
Culurciello, Eugenio, Dundar, Aysegul, Jin, Jonghoon, Gokhale, Vinayak, and Martini, Berin · 2013
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Predicting parameters in deep learning
Denil, Misha, Shakibi, Babak, Dinh, Laurent, Ranzato, Marc’aurelio, and Freitas, Nando D · 2013
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Caffe: An open source convolutional architecture for fast feature embedding
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Cartesian k k means
Norouzi, Mohammad and Fleet, David · 2013
Visualizing and understanding convolutional neural networks
Zeiler, Matthew D and Fergus, Rob · 2013
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Exploiting linear structure within convolutional networks for efficient evaluation
Denton, Emily, Zaremba, Wojciech, Bruna, Joan, LeCun, Yann, and Fergus, Rob · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, Ross, Donahue, Jeff, Darrell, Trevor, and Malik, Jitendra · 2014
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Multi-scale orderless pooling of deep convolutional activation features
Gong, Yunchao, Wang, Liwei, Guo, Ruiqi, and Lazebnik, Svetlana · 2014
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Speeding up convolutional neural networks with low rank expansions
Jaderberg, M., Vedaldi, A., and Zisserman, A · 2014
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Deep fisher networks for large-scale image classification
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Regularization of neural networks using dropconnect
Wan, Li, Zeiler, Matt, Zhang, Sixin, Lecun, Yann, and Fergus, Rob · 2013
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Razavian, Ali Sharif, Azizpour, Hossein, Sullivan, Josephine, and Carlsson, Stefan · 2014
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Very deep convolutional networks for large-scale image recognition
Simonyan, Karen and Zisserman, Andrew · 2014
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Going deeper with convolutions
Szegedy, Christian, Liu, Wei, Jia, Yangqing, Sermanet, Pierre, Reed, Scott, Anguelov, Dragomir, Erhan, Dumitru, Vanhoucke, Vincent, and Rabinovich, Andrew · 2014
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