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Over the last decade, Convolutional Neural Networks (CNN) saw a tremendous surge in performance.
Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L. J., Li, Kai, and Fei-Fei, Li · 2009
Earlier work this paper cites.
Visualizing higher-layer features of a deep network
Erhan, Dumitru, Bengio, Yoshua, Courville, Aaron, and Vincent, Pascal · 2009
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How to explain individual classification decisions
Baehrens, David, Schroeter, Timon, Harmeling, Stefan, Kawanabe, Motoaki, Hansen, Katja, and Müller, Klaus-Robert · 2010
Earlier work this paper cites.
Deep sparse rectifier neural networks
Glorot, Xavier, Bordes, Antoine, and Bengio, Yoshua · 2011
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Adaptive deconvolutional networks for mid and high level feature learning
Zeiler, M. D., Taylor, G. W., and Fergus, R · 2011
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Improving neural networks by preventing co-adaptation of feature detectors
Hinton, Geoffrey E., Srivastava, Nitish, Krizhevsky, Alex, Sutskever, Ilya, and Salakhutdinov, Ruslan · 2012
Earlier work this paper cites.
Rectifier nonlinearities improve neural network acoustic models
Maas, Andrew L, Hannun, Awni Y, and Ng, Andrew Y · 2013
Earlier work this paper cites.
Deep inside convolutional networks: Visualising image classification models and saliency maps
Simonyan, Karen, Vedaldi, Andrea, and Zisserman, Andrew · 2013
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Hoggles: Visualizing object detection features
Vondrick, Carl, Khosla, Aditya, Malisiewicz, Tomasz, and Torralba, Antonio · 2013
Earlier work this paper cites.
Visualizing and understanding convolutional networks
Zeiler, Matthew D. and Fergus, Rob · 2013
Cited alongside, same era.
Learning to generate chairs with convolutional neural networks
Dosovitskiy, Alexey, Springenberg, Jost Tobias, and Brox, Thomas · 2014
Cited alongside, same era.
Deep speech: Scaling up end-to-end speech recognition
Hannun, Awni Y., Case, Carl, Casper, Jared, Catanzaro, Bryan C., Diamos, Greg, Elsen, Erich, Prenger, Ryan, Satheesh, Sanjeev, Sengupta, Shubho, Coates, Adam, and Ng, Andrew Y · 2014
Cited alongside, same era.
Microsoft COCO: common objects in context
Lin, Tsung-Yi, Maire, Michael, Belongie, Serge J., Bourdev, Lubomir D., Girshick, Ross B., Hays, James, Perona, Pietro, Ramanan, Deva, Dollár, Piotr, and Zitnick, C. Lawrence · 2014
Cited alongside, same era.
Object detectors emerge in deep scene cnns
Zhou, Bolei, Khosla, Aditya, Lapedriza, Àgata, Oliva, Aude, and Torralba, Antonio · 2014
Later among the works it cites.
On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation
Bach, Sebastian, Binder, Alexander, Montavon, Grégoire, Klauschen, Frederick, Müller, Klaus-Robert, and Samek, Wojciech · 2015
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Inverting convolutional networks with convolutional networks
Dosovitskiy, Alexey and Brox, Thomas · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2015
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ImageNet Large Scale Visual Recognition Challenge
Russakovsky, Olga, Deng, Jia, Su, Hao, Krause, Jonathan, Satheesh, Sanjeev, Ma, Sean, Huang, Zhiheng, Karpathy, Andrej, Khosla, Aditya, Bernstein, Michael, Berg, Alexander C., and Fei-Fei, Li · 2015
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Long, Jonathan, Zhang, Ning, and Darrell, Trevor · 2014
Cited alongside, same era.
Understanding deep image representations by inverting them
Mahendran, Aravindh and Vedaldi, Andrea · 2014
Cited alongside, same era.
Striving for simplicity: The all convolutional net
Springenberg, Jost Tobias, Dosovitskiy, Alexey, Brox, Thomas, and Riedmiller, Martin A · 2014
Cited alongside, same era.
Dropout: A simple way to prevent neural networks from overfitting
Srivastava, Nitish, Hinton, Geoffrey, Krizhevsky, Alex, Sutskever, Ilya, and Salakhutdinov, Ruslan · 2014
Cited alongside, same era.
Deepface: Closing the gap to human-level performance in face verification
Taigman, Yaniv, Yang, Ming, Ranzato, Marc’Aurelio, and Wolf, Lior · 2014
Cited alongside, same era.
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MatConvNet – convolutional neural networks for MATLAB
Vedaldi, A. and Lenc, K · 2015
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Understanding neural networks through deep visualization
Yosinski, Jason, Clune, Jeff, Nguyen, Anh Mai, Fuchs, Thomas, and Lipson, Hod · 2015
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Learning deep features for discriminative localization
Zhou, Bolei, Khosla, Aditya, Lapedriza, Àgata, Oliva, Aude, and Torralba, Antonio · 2015
Later among the works it cites.