Recurrent convolutional model based on gated spiking neural P system for stereo matching networks
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-05091-5.pdf
Reference66 articles.
1. Chang J-R, Chen Y-S (2018) Pyramid stereo matching network. In: Proceedings of the IEEE conference on computer vision and pattern recognition. p 5410–5418
2. Guo X, Yang K, Yang W, Wang X, Li, H (2019) Group-wise correlation stereo network. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. p 3273–3282
3. Tankovich V, Hane C, Zhang Y, Kowdle A, Fanello S, Bouaziz S (2021) Hitnet: Hierarchical iterative tile refinement network for real-time stereo matching. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. p 14362–14372
4. Lipson L, Teed Z, Deng J (2021) Raft-stereo: Raft-stereo: Multilevel recurrent field transforms for stereo matching. In: 2021 International Conference on 3D Vision (3DV). IEEE p 218–227
5. Du H, Li Y, Sun Y, Zhu J, Tombari F (2021) Srh-net: Stacked recurrent hourglass network for stereo matching. IEEE Robot Autom Lett 6(4):8005–8012
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