Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected …

Articles citing Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected …

Title / Author	Year
Fully convolutional networks for semantic segmentation J Long, E Shelhamer, T Darrell Proceedings of the IEEE conference on computer vision and pattern …	2015
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
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
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
Multi-scale context aggregation by dilated convolutions F Yu, V Koltun arXiv preprint arXiv:1511.07122	2015
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
Pyramid scene parsing network H Zhao, J Shi, X Qi, X Wang, J Jia Proceedings of the IEEE conference on computer vision and pattern …	2017
R-fcn: Object detection via region-based fully convolutional networks J Dai, Y Li, K He, J Sun Advances in neural information processing systems, 379-387	2016
Learning deconvolution network for semantic segmentation H Noh, S Hong, B Han Proceedings of the IEEE international conference on computer vision, 1520-1528	2015
Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning HC Shin, HR Roth, M Gao, L Lu, Z Xu, I Nogues, J Yao, D Mollura, ... IEEE transactions on medical imaging 35 (5), 1285-1298	2016
Conditional random fields as recurrent neural networks S Zheng, S Jayasumana, B Romera-Paredes, V Vineet, Z Su, D Du, ... Proceedings of the IEEE international conference on computer vision, 1529-1537	2015
Image style transfer using convolutional neural networks LA Gatys, AS Ecker, M Bethge Proceedings of the IEEE conference on computer vision and pattern …	2016
Wavenet: A generative model for raw audio A Oord, S Dieleman, H Zen, K Simonyan, O Vinyals, A Graves, ... arXiv preprint arXiv:1609.03499	2016
Encoder-decoder with atrous separable convolution for semantic image segmentation LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam Proceedings of the European conference on computer vision (ECCV), 801-818	2018
Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture D Eigen, R Fergus Proceedings of the IEEE international conference on computer vision, 2650-2658	2015
Non-local neural networks X Wang, R Girshick, A Gupta, K He Proceedings of the IEEE conference on computer vision and pattern …	2018
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation K Kamnitsas, C Ledig, VFJ Newcombe, JP Simpson, AD Kane, DK Menon, ... Medical image analysis 36, 61-78	2017
Region-based convolutional networks for accurate object detection and segmentation R Girshick, J Donahue, T Darrell, J Malik IEEE transactions on pattern analysis and machine intelligence 38 (1), 142-158	2015
Refinenet: Multi-path refinement networks for high-resolution semantic segmentation G Lin, A Milan, C Shen, I Reid Proceedings of the IEEE conference on computer vision and pattern …	2017

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