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CNNs have made a tremendous impact on the field of computer vision in the last several years.
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Fukushima, K.: · 1980
Earlier work this paper cites.
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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Efficient graph-based image segmentation
Felzenszwalb, P.F., Huttenlocher, D.P.: · 2004
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Learning to detect a salient object
Tie Liu, Zejian Yuan, J.S.J.W.N.Z.X.T., Shum, H.Y.: · 2011
Earlier work this paper cites.
Semantic contours from inverse detectors
Hariharan, B., Arbelaez, P., Bourdev, L., Maji, S., Malik, J.: · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
Earlier work this paper cites.
Learning hierarchical features for scene labeling
Clement Farabet, Camille Couprie, L.N., LeCun, Y.: · 2013
Earlier work this paper cites.
Hierarchical saliency detection
Yan, Q., Xu, L., Shi, J., Jia, J.: · 2013
Earlier work this paper cites.
Overfeat: Integrated recognition, localization and detection using convolutional networks
Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., Lecun, Y.: · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2014
Cited alongside, same era.
Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, R., Donahue, J., Darrell, T., Malik, J.: · 2014
Cited alongside, same era.
The secrets of salient object segmentation
Li, Y., Hou, X., Koch, C., Rehg, J.M., Yuille, A.L.: · 2014
Cited alongside, same era.
Caffe: Convolutional architecture for fast feature embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: · 2014
Cited alongside, same era.
Fast R-CNN
Girshick, R.B.: · 2015
Cited alongside, same era.
Semantic image segmentation with deep convolutional nets and fully connected crfs
Chen, L., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: · 2015
Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., Darrell, T.: · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
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Deep interactive object selection
Xu, N., Price, B.L., Cohen, S., Yang, J., Huang, T.S.: · 2016
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Deep learning for branch point selection in rna splicing
Dean, V., Delong, A., Frey, B.: · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, S.R.T.R.M.E.R.B.U.F.S.R., Schiele, B.: · 2016
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Fully convolutional networks for semantic segmentation
Shelhamer, E., Long, J., Darrell, T.: · 2017
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Cited alongside, same era.
Visual saliency based on multiscale deep features
Li, G., Yu, Y.: · 2015
Cited alongside, same era.
TensorFlow: Large-scale machine learning on heterogeneous systems
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X.: · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D.P., Ba, J.: · 2015
Cited alongside, same era.
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Visual interaction networks: Learning a physics simulator from video
Watters, N., Zoran, D., Weber, T., Battaglia, P., Pascanu, R., Tacchetti, A.: · 2017
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Deep grabcut for object selection
Xu, N., Price, B.L., Cohen, S., Yang, J., Huang, T.S.: · 2017
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An intriguing failing of convolutional neural networks and the coordconv solution
Liu, R., Lehman, J., Molino, P., Such, F.P., Frank, E., Sergeev, A., Yosinski, J.: · 2018
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