IIE-SegNet: Deep Semantic Segmentation Network With Enhanced Boundary Based on Image Information Entropy
- DOI
- 10.1109/access.2021.3064346
- Published
- 2021
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2021.3064346,
title = {IIE-SegNet: Deep Semantic Segmentation Network With Enhanced Boundary Based on Image Information Entropy},
author = {Qing Li and Hongjian Wang and Ben-Yin Li and Tang Yanghua and Juan Li},
year = {2021},
journal = {IEEE Access},
doi = {10.1109/access.2021.3064346},
url = {https://doi.org/10.1109/access.2021.3064346}
}RIS
TY - JOUR TI - IIE-SegNet: Deep Semantic Segmentation Network With Enhanced Boundary Based on Image Information Entropy AU - Qing Li AU - Hongjian Wang AU - Ben-Yin Li AU - Tang Yanghua AU - Juan Li PY - 2021 JO - IEEE Access DO - 10.1109/access.2021.3064346 UR - https://doi.org/10.1109/access.2021.3064346 ER -
APA
Li, Q., Wang, H., Li, B., Yanghua, T., & Li, J. (2021). IIE-SegNet: Deep Semantic Segmentation Network With Enhanced Boundary Based on Image Information Entropy. IEEE Access. https://doi.org/10.1109/access.2021.3064346
Source records
- crossref · retrieved 2026-09-24T21:54:24.893Z