Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet …

Articles citing Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet …

Title / Author	Year
Deep residual learning for image recognition K He, X Zhang, S Ren, J Sun Proceedings of the IEEE conference on computer vision and pattern …	2016
Batch normalization: Accelerating deep network training by reducing internal covariate shift S Ioffe, C Szegedy arXiv preprint arXiv:1502.03167	2015
Deep learning I Goodfellow, Y Bengio, A Courville MIT press	2016
U-net: Convolutional networks for biomedical image segmentation O Ronneberger, P Fischer, T Brox International Conference on Medical image computing and computer-assisted …	2015
You only look once: Unified, real-time object detection J Redmon, S Divvala, R Girshick, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …	2016
Rethinking the inception architecture for computer vision C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna Proceedings of the IEEE conference on computer vision and pattern …	2016
Densely connected convolutional networks G Huang, Z Liu, L Van Der Maaten, KQ Weinberger Proceedings of the IEEE conference on computer vision and pattern …	2017
Segnet: A deep convolutional encoder-decoder architecture for image segmentation V Badrinarayanan, A Kendall, R Cipolla IEEE transactions on pattern analysis and machine intelligence 39 (12), 2481 …	2017
Identity mappings in deep residual networks K He, X Zhang, S Ren, J Sun European conference on computer vision, 630-645	2016
Photo-realistic single image super-resolution using a generative adversarial network C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ... Proceedings of the IEEE conference on computer vision and pattern …	2017
Fast and accurate deep network learning by exponential linear units (elus) DA Clevert, T Unterthiner, S Hochreiter arXiv preprint arXiv:1511.07289	2015
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer arXiv preprint arXiv:1602.07360	2016
Accurate image super-resolution using very deep convolutional networks J Kim, J Kwon Lee, K Mu Lee Proceedings of the IEEE conference on computer vision and pattern …	2016
Wide residual networks S Zagoruyko, N Komodakis arXiv preprint arXiv:1605.07146	2016
Aggregated residual transformations for deep neural networks S Xie, R Girshick, P Dollár, Z Tu, K He Proceedings of the IEEE conference on computer vision and pattern …	2017
Squeeze-and-excitation networks J Hu, L Shen, G Sun Proceedings of the IEEE conference on computer vision and pattern …	2018
V-net: Fully convolutional neural networks for volumetric medical image segmentation F Milletari, N Navab, SA Ahmadi 2016 Fourth International Conference on 3D Vision (3DV), 565-571	2016
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising K Zhang, W Zuo, Y Chen, D Meng, L Zhang IEEE Transactions on Image Processing 26 (7), 3142-3155	2017
A discriminative feature learning approach for deep face recognition Y Wen, K Zhang, Z Li, Y Qiao European conference on computer vision, 499-515	2016
Joint face detection and alignment using multitask cascaded convolutional networks K Zhang, Z Zhang, Z Li, Y Qiao IEEE Signal Processing Letters 23 (10), 1499-1503	2016

1 - 20

Dates and citation counts are estimated and are determined automatically by a computer program.