Fully Convolutional Networks for Semantic Segmentation - Estadísticas de Google Académico

Artículos que citan Fully Convolutional Networks for Semantic Segmentation

Título / Autor	Año
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
Very deep convolutional networks for large-scale image recognition K Simonyan, A Zisserman arXiv preprint arXiv:1409.1556	2014
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
U-net: Convolutional networks for biomedical image segmentation O Ronneberger, P Fischer, T Brox International Conference on Medical image computing and computer-assisted …	2015
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
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
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
Image-to-image translation with conditional adversarial networks P Isola, JY Zhu, T Zhou, AA Efros Proceedings of the IEEE conference on computer vision and pattern …	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
Mask r-cnn K He, G Gkioxari, P Dollár, R Girshick Proceedings of the IEEE international conference on computer vision, 2961-2969	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
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
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
Multi-scale context aggregation by dilated convolutions F Yu, V Koltun arXiv preprint arXiv:1511.07122	2015
Learning deconvolution network for semantic segmentation H Noh, S Hong, B Han Proceedings of the IEEE international conference on computer vision, 1520-1528	2015
Spatial transformer networks M Jaderberg, K Simonyan, A Zisserman Advances in neural information processing systems, 2017-2025	2015
Semantic image segmentation with deep convolutional nets and fully connected crfs LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille arXiv preprint arXiv:1412.7062	2014
Perceptual losses for real-time style transfer and super-resolution J Johnson, A Alahi, L Fei-Fei European conference on computer vision, 694-711	2016
A survey on deep learning in medical image analysis G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ... Medical image analysis 42, 60-88	2017
The cityscapes dataset for semantic urban scene understanding M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ... Proceedings of the IEEE conference on computer vision and pattern …	2016

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