Rethinking Atrous Convolution for Semantic Image Segmentation

作者: Florian Schroff , Hartwig Adam , Liang-Chieh Chen , George Papandreou

DOI:

关键词: Scale-space segmentationSemantic image segmentationConvolutionComputer sciencePascal (programming language)Convolutional neural networkPyramidComputer visionArtificial intelligencePattern recognition

摘要: In this work, we revisit atrous convolution, a powerful tool to explicitly adjust filter's field-of-view as well as control the resolution of feature responses computed by Deep Convolutional …

参考文章(2)
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla, SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv: Computer Vision and Pattern Recognition. ,(2015)
Ilya Sutskever, Ian J. Goodfellow, Gregory S. Corrado, Michael Isard, Matthieu Devin, Vincent Vanhoucke, Martin Wicke, Manjunath Kudlur, Rajat Monga, Vijay Vasudevan, Geoffrey Irving, Yangqing Jia, Fernanda B. Viégas, Kunal Talwar, Martin Wattenberg, Ashish Agarwal, Martín Abadi, Yuan Yu, Rafal Józefowicz, Craig Citro, Sherry Moore, Paul Barham, Benoit Steiner, Pete Warden, Josh Levenberg, Derek Gordon Murray, Paul A. Tucker, Jonathon Shlens, Jeffrey Dean, Xiaoqiang Zheng, Chris Olah, Andy Davis, Dan Mané, Mike Schuster, Sanjay Ghemawat, Andrew Harp, Oriol Vinyals, Eugene Brevdo, Zhifeng Chen, Lukasz Kaiser, TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems arXiv: Distributed, Parallel, and Cluster Computing. ,(2015)