DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- DOI
- 10.1109/tpami.2017.2699184
- Published
- 2018-04-01
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2017.2699184,
title = {DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs},
author = {Liang-Chieh Chen and George Papandreou and Iasonas Kokkinos and Kevin Murphy and Alan L. Yuille},
year = {2018},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2017.2699184},
url = {https://doi.org/10.1109/tpami.2017.2699184}
}RIS
TY - JOUR TI - DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs AU - Liang-Chieh Chen AU - George Papandreou AU - Iasonas Kokkinos AU - Kevin Murphy AU - Alan L. Yuille PY - 2018 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2017.2699184 UR - https://doi.org/10.1109/tpami.2017.2699184 ER -
APA
Chen, L., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2018). DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2017.2699184
Source records
- crossref · retrieved 2026-09-25T06:35:44.564Z