Adaptive Affinity Fields for Semantic Segmentation-Reference-Cited by-同舟云学术

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Adaptive Affinity Fields for Semantic Segmentation

Published:2018 Issue: Volume: Page:605-621
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2018
language:
Short-container-title:

Author:

Ke Tsung-Wei^ORCID,Hwang Jyh-Jing^ORCID,Liu Ziwei^ORCID,Yu Stella X.^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01246-5_36

Reference37 articles.

1. Amir, A., Lindenbaum, M.: Grouping-based nonadditive verification. IEEE Trans. Pattern Anal. Mach. Intell. 20(2), 186–192 (1998)

2. Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898–916 (2011)

3. Bertasius, G., Shi, J., Torresani, L.: Semantic segmentation with boundary neural fields. In: CVPR (2016)

4. Bertasius, G., Torresani, L., Yu, S.X., Shi, J.: Convolutional random walk networks for semantic image segmentation. In: CVPR (2017)

5. Chen, L.C., Barron, J.T., Papandreou, G., Murphy, K., Yuille, A.L.: Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform. In: CVPR (2016)

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