Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 9, 1199(2022)
A-LinkNet: semantic segmentation network based on attention and spatial information fusion
[2] MAO W. Semantic segmentation research of urban scenes based on deep learning[D](2019).
[6] PASZKE A, CHAURASIA A, KIM S et al. ENet: a deep neural network architecture for real-time semantic segmentation[J]. arXiv, 1606. 02147(2016).
[8] YU F, KOLTUN V. Multi-scale context aggregation by dilated convolutions[J]. arXiv, 1511. 07122(2015).
[14] FU J, LIU J, TIAN H J et al. Dual attention network for scene segmentation[C], 3141-3149(2019).
[21] KINGMA D P, BA J. Adam: a method for stochastic optimization[J]. arXiv, 1412. 6980(2014).
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Min-min DU, Hai-feng SIMA. A-LinkNet: semantic segmentation network based on attention and spatial information fusion[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(9): 1199
Category: Research Articles
Received: Feb. 5, 2022
Accepted: --
Published Online: Sep. 14, 2022
The Author Email: Hai-feng SIMA (smhf@hpu.edu.cn)