Deep Residual Learning for Image Recognition

Articles citing Deep Residual Learning for Image Recognition

Title / Author	Year
Imagenet classification with deep convolutional neural networks A Krizhevsky, I Sutskever, GE Hinton Advances in neural information processing systems, 1097-1105	2012
Data mining: practical machine learning tools and techniques with Java implementations IH Witten, E Frank Acm Sigmod Record 31 (1), 76-77	2002
Faster r-cnn: Towards real-time object detection with region proposal networks S Ren, K He, R Girshick, J Sun Advances in neural information processing systems, 91-99	2015
Attention is all you need A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... Advances in neural information processing systems, 5998-6008	2017
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
Ssd: Single shot multibox detector W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg European conference on computer vision, 21-37	2016
Tensorflow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th {USENIX} symposium on operating systems design and implementation …	2016
Mask r-cnn K He, G Gkioxari, P Dollár, R Girshick Proceedings of the IEEE international conference on computer vision, 2961-2969	2017
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille IEEE transactions on pattern analysis and machine intelligence 40 (4), 834-848	2017
Unpaired image-to-image translation using cycle-consistent adversarial networks JY Zhu, T Park, P Isola, AA Efros Proceedings of the IEEE international conference on computer vision, 2223-2232	2017
YOLO9000: better, faster, stronger J Redmon, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …	2017
Inception-v4, inception-resnet and the impact of residual connections on learning C Szegedy, S Ioffe, V Vanhoucke, AA Alemi Thirty-first AAAI conference on artificial intelligence	2017
Mobilenets: Efficient convolutional neural networks for mobile vision applications AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861	2017
Dermatologist-level classification of skin cancer with deep neural networks A Esteva, B Kuprel, RA Novoa, J Ko, SM Swetter, HM Blau, S Thrun nature 542 (7639), 115-118	2017
Semi-supervised classification with graph convolutional networks TN Kipf, M Welling arXiv preprint arXiv:1609.02907	2016
Feature pyramid networks for object detection TY Lin, P Dollár, R Girshick, K He, B Hariharan, S Belongie Proceedings of the IEEE conference on computer vision and pattern …	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
Mastering the game of go without human knowledge D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ... nature 550 (7676), 354-359	2017
Focal loss for dense object detection TY Lin, P Goyal, R Girshick, K He, P Dollár Proceedings of the IEEE international conference on computer vision, 2980-2988	2017

1 - 20

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