.. _gluoncv-model-zoo-classification: Classification ==================== .. role:: framework :class: framework .. role:: select :class: selected framework .. container:: Frameworks .. container:: framework-group :framework:`MXNet` :framework:`Pytorch` .. rst-class:: MXNet MXNet ************* .. include:: classification_mxnet.rst .. rst-class:: Pytorch PyTorch ************* .. include:: classification_torch.rst Reference ************* .. [1] He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. \ "Deep residual learning for image recognition." \ In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778. 2016. .. [2] He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. \ "Identity mappings in deep residual networks." \ In European Conference on Computer Vision, pp. 630-645. Springer, Cham, 2016. .. [3] Redmon, Joseph, and Ali Farhadi. \ "Yolov3: An incremental improvement." \ arXiv preprint arXiv:1804.02767 (2018). .. [4] Howard, Andrew G., Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, \ Tobias Weyand, Marco Andreetto, and Hartwig Adam. \ "Mobilenets: Efficient convolutional neural networks for mobile vision applications." \ arXiv preprint arXiv:1704.04861 (2017). .. [5] Sandler, Mark, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen. \ "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation." \ arXiv preprint arXiv:1801.04381 (2018). .. [6] Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. \ "Imagenet classification with deep convolutional neural networks." \ In Advances in neural information processing systems, pp. 1097-1105. 2012. .. [7] Huang, Gao, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q. Weinberger. \ "Densely Connected Convolutional Networks." In CVPR, vol. 1, no. 2, p. 3. 2017. .. [8] Szegedy, Christian, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. \ "Rethinking the inception architecture for computer vision." \ In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2818-2826. 2016. .. [9] Karen Simonyan, Andrew Zisserman. \ "Very Deep Convolutional Networks for Large-Scale Image Recognition." \ arXiv technical report arXiv:1409.1556 (2014). .. [10] Iandola, Forrest N., Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, and Kurt Keutzer. \ "Squeezenet: Alexnet-level accuracy with 50x fewer parameters and< 0.5 mb model size." \ arXiv preprint arXiv:1602.07360 (2016). .. [11] Zagoruyko, Sergey, and Nikos Komodakis. \ "Wide residual networks." \ arXiv preprint arXiv:1605.07146 (2016). .. [12] Xie, Saining, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He. \ "Aggregated residual transformations for deep neural networks." \ In Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, pp. 5987-5995. IEEE, 2017. .. [13] Zhang, Hongyi, Moustapha Cisse, Yann N. Dauphin, and David Lopez-Paz. \ "mixup: Beyond empirical risk minimization." \ arXiv preprint arXiv:1710.09412 (2017). .. [14] Hu, Jie, Li Shen, and Gang Sun. "Squeeze-and-excitation networks." arXiv preprint arXiv:1709.01507 7 (2017). .. [15] Howard, Andrew, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang et al. \ "Searching for mobilenetv3." \ arXiv preprint arXiv:1905.02244 (2019). .. [16] Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich \ "Going Deeper with Convolutions" \ arXiv preprint arXiv:1409.4842 (2014). .. [17] Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Muller, R. Manmatha, Mu Li and Alex Smola \ "ResNeSt: Split-Attention Network" \ arXiv preprint (2020).