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Dimitris N. Metaxas | Alireza Naghizadeh | Mohammadsajad Abavisani | Alireza Naghizadeh | Mohammadsajad Abavisani | Mohammadsajad Abavisani
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Geoffrey E. Hinton,et al. Matrix capsules with EM routing , 2018, ICLR.
[3] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[5] Yoshua Bengio,et al. Better Mixing via Deep Representations , 2012, ICML.
[6] Dragomir Anguelov,et al. Capturing Long-Tail Distributions of Object Subcategories , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Lawrence D. Jackel,et al. Handwritten Digit Recognition with a Back-Propagation Network , 1989, NIPS.
[9] Thomas Brox,et al. Discriminative Unsupervised Feature Learning with Convolutional Neural Networks , 2014, NIPS.
[10] Yoshua Bengio,et al. Deep Directed Generative Autoencoders , 2014, ArXiv.
[11] Jürgen Schmidhuber,et al. Multi-column deep neural networks for image classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Dimitris N. Metaxas,et al. Condensed Silhouette: An Optimized Filtering Process for Cluster Selection in K-Means , 2020, KES.
[14] Ion Stoica,et al. Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules , 2019, ICML.
[15] Ya Le,et al. Tiny ImageNet Visual Recognition Challenge , 2015 .
[16] Michael Brown,et al. Pillow: 3.1.0 , 2016 .
[17] Fei Yang,et al. Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Sylvain Paris,et al. Deep Photo Style Transfer , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Saman Ghili,et al. Tiny ImageNet Visual Recognition Challenge , 2014 .
[20] Graham W. Taylor,et al. Dataset Augmentation in Feature Space , 2017, ICLR.
[21] Kilian Q. Weinberger,et al. Deep Networks with Stochastic Depth , 2016, ECCV.
[22] Yifan Zhang,et al. Face Clustering in Videos with Proportion Prior , 2015, IJCAI.
[23] Yi Yang,et al. Random Erasing Data Augmentation , 2017, AAAI.
[24] Xiangyu Zhang,et al. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[25] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[26] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Kuan-Ta Chen,et al. Automation of the kidney function prediction and classification through ultrasound-based kidney imaging using deep learning , 2019, npj Digital Medicine.
[28] Xiangyu Zhang,et al. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design , 2018, ECCV.
[29] Martial Hebert,et al. Learning to Model the Tail , 2017, NIPS.
[30] Graham W. Taylor,et al. Improved Regularization of Convolutional Neural Networks with Cutout , 2017, ArXiv.
[31] Geoffrey E. Hinton,et al. Dynamic Routing Between Capsules , 2017, NIPS.
[32] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[33] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[34] Quoc V. Le,et al. AutoAugment: Learning Augmentation Policies from Data , 2018, ArXiv.
[35] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[36] Geoffrey E. Hinton,et al. Transforming Autoencoders , 2011 .
[37] Hiroshi Inoue,et al. Data Augmentation by Pairing Samples for Images Classification , 2018, ArXiv.
[38] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Yann LeCun,et al. The mnist database of handwritten digits , 2005 .
[40] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .
[41] Vijay Vasudevan,et al. Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.