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        TITLE = "LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks",
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@inproceedings{bb155901,
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        TITLE = "4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks",
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@inproceedings{bb155902,
        AUTHOR = "Mehta, D. and Kim, K.I. and Theobalt, C.",
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        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@inproceedings{bb155903,
        AUTHOR = "Li, X. and Wang, W. and Hu, X.L. and Yang, J.",
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@inproceedings{bb155904,
        AUTHOR = "Tsuzuku, Y. and Sato, I.",
        TITLE = "On the Structural Sensitivity of Deep Convolutional Networks to the
Directions of Fourier Basis Functions",
        BOOKTITLE = CVPR19,
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@inproceedings{bb155905,
        AUTHOR = "Wang, C. and Yang, J.F. and Xie, L.H. and Yuan, J.S.",
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@inproceedings{bb155906,
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@inproceedings{bb155907,
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@inproceedings{bb155908,
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@inproceedings{bb155909,
        AUTHOR = "Eda, T. and Muramatsu, S. and Enomoto, S. and Xu, S.",
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@inproceedings{bb155910,
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@inproceedings{bb155911,
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@inproceedings{bb155912,
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@inproceedings{bb155913,
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@inproceedings{bb155914,
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@inproceedings{bb155915,
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@inproceedings{bb155916,
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@inproceedings{bb155926,
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@inproceedings{bb155939,
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@inproceedings{bb155940,
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@inproceedings{bb155959,
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@inproceedings{bb155961,
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Degraded Datasets",
        BOOKTITLE = DICTA17,
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@inproceedings{bb155963,
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        TITLE = "Fast and accurate image recognition using Deeply-Fused Branchy
Networks",
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@inproceedings{bb155964,
        AUTHOR = "Dominguez, M. and Such, F.P. and Sah, S. and Ptucha, R.",
        TITLE = "Towards 3D convolutional neural networks with meshes",
        BOOKTITLE = ICIP17,
        YEAR = "2017",
        PAGES = "3929-3933",
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@inproceedings{bb155965,
        AUTHOR = "Yoshiyasu, Y. and Yoshida, E. and Pirk, S. and Guibas, L.J.",
        TITLE = "3D convolutional neural networks by modal fusion",
        BOOKTITLE = ICIP17,
        YEAR = "2017",
        PAGES = "1777-1781",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652imnn1.html#TT151877"}

@inproceedings{bb155966,
        AUTHOR = "Pasupuleti, S.K. and Miniskar, N.R. and Rajagopal, V. and Gadde, R.N.",
        TITLE = "A novel method to regenerate an optimal CNN by exploiting redundancy
patterns in the network",
        BOOKTITLE = ICIP17,
        YEAR = "2017",
        PAGES = "4407-4411",
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@inproceedings{bb155967,
        AUTHOR = "Jeon, S.R. and Kim, S.R. and Sohn, K.H.",
        TITLE = "Convolutional feature pyramid fusion via attention network",
        BOOKTITLE = ICIP17,
        YEAR = "2017",
        PAGES = "1007-1011",
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@inproceedings{bb155968,
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        TITLE = "Layer-Wise Weight Decay for Deep Neural Networks",
        BOOKTITLE = PSIVT17,
        YEAR = "2017",
        PAGES = "276-289",
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@inproceedings{bb155969,
        AUTHOR = "Gupta, A. and Duggal, R.",
        TITLE = "P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep
Neural Networks",
        BOOKTITLE = CEFR-LCV17,
        YEAR = "2017",
        PAGES = "974-978",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652imnn1.html#TT151881"}

@inproceedings{bb155970,
        AUTHOR = "Marcos, D. and Volpi, M. and Komodakis, N. and Tuia, D.",
        TITLE = "Rotation Equivariant Vector Field Networks",
        BOOKTITLE = ICCV17,
        YEAR = "2017",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652imnn1.html#TT151882"}

@inproceedings{bb155971,
        AUTHOR = "Zhang, T. and Qi, G.J. and Xiao, B. and Wang, J.D.",
        TITLE = "Interleaved Group Convolutions",
        BOOKTITLE = ICCV17,
        YEAR = "2017",
        PAGES = "4383-4392",
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@inproceedings{bb155972,
        AUTHOR = "Wang, G. and Xie, X. and Lai, J. and Zhuo, J.",
        TITLE = "Deep Growing Learning",
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        PAGES = "2831-2839",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652imnn1.html#TT151884"}

@inproceedings{bb155973,
        AUTHOR = "Zhang, Y. and Ozay, M. and Li, S.H. and Okatani, T.",
        TITLE = "Truncating Wide Networks Using Binary Tree Architectures",
        BOOKTITLE = ICCV17,
        YEAR = "2017",
        PAGES = "2116-2124",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652imnn1.html#TT151885"}

@inproceedings{bb155974,
        AUTHOR = "Wang, Y. and Xie, L.X. and Liu, C.X. and Qiao, S.Y. and Zhang, Y. and Zhang, W.J. and Tian, Q. and Yuille, A.L.",
        TITLE = "SORT: Second-Order Response Transform for Visual Recognition",
        BOOKTITLE = ICCV17,
        YEAR = "2017",
        PAGES = "1368-1377",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652imnn1.html#TT151886"}

@inproceedings{bb155975,
        AUTHOR = "Dai, J.F. and Qi, H.Z. and Xiong, Y. and Li, Y. and Zhang, G.D. and Hu, H. and Wei, Y.C.",
        TITLE = "Deformable Convolutional Networks",
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        PAGES = "764-773",
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@inproceedings{bb155976,
        AUTHOR = "Wen, W. and Xu, C. and Wu, C. and Wang, Y. and Chen, Y. and Li, H.",
        TITLE = "Coordinating Filters for Faster Deep Neural Networks",
        BOOKTITLE = ICCV17,
        YEAR = "2017",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652imnn1.html#TT151888"}

@inproceedings{bb155977,
        AUTHOR = "Osherov, E. and Lindenbaum, M.",
        TITLE = "Increasing CNN Robustness to Occlusions by Reducing Filter Support",
        BOOKTITLE = ICCV17,
        YEAR = "2017",
        PAGES = "550-561",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652imnn1.html#TT151889"}

@inproceedings{bb155978,
        AUTHOR = "Cecconi, L. and Smets, S. and Benini, L. and Verhelst, M.",
        TITLE = "Optimal Tiling Strategy for Memory Bandwidth Reduction for CNNs",
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@inproceedings{bb155979,
        AUTHOR = "Ceruti, C. and Campadelli, P. and Casiraghi, E.",
        TITLE = "Linear Regularized Compression of Deep Convolutional Neural Networks",
        BOOKTITLE = CIAP17,
        YEAR = "2017",
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@inproceedings{bb155980,
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        TITLE = "Fixed-Point Factorized Networks",
        BOOKTITLE = CVPR17,
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@inproceedings{bb155981,
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        TITLE = "Active Convolution:
Learning the Shape of Convolution for Image Classification",
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@inproceedings{bb155982,
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        TITLE = "Xception: Deep Learning with Depthwise Separable Convolutions",
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@inproceedings{bb155983,
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        TITLE = "Feedback Networks",
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@inproceedings{bb155984,
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@inproceedings{bb155985,
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@inproceedings{bb155986,
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@inproceedings{bb155987,
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@inproceedings{bb155988,
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@inproceedings{bb155989,
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@inproceedings{bb155990,
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@inproceedings{bb155991,
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@inproceedings{bb155992,
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@inproceedings{bb155993,
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@inproceedings{bb155994,
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@inproceedings{bb155995,
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Recognition",
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@inproceedings{bb155996,
        AUTHOR = "Ujiie, T. and Hiromoto, M. and Sato, T.",
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Convolutional Neural Network Processor",
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@inproceedings{bb155997,
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@inproceedings{bb155998,
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Gaussians",
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@inproceedings{bb155999,
        AUTHOR = "Lavin, A. and Gray, S.",
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