[8] [8] Zhao H, Zhou H, Zhang Y, et al. EAI-Stereo: Error Aware Iterative Network for Stereo Matching[C]//Computer Vision-ACCV 2022: Springer Nature Switzerland, 2023: 3-19.

[9] [9] Lipson L, Teed Z, Deng J. RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching[C]//arXiv, 2021.

[10] [10] bontar J, Lecun Y. Computing the Stereo Matching Cost with a Convolutional Neural Network[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR): IEEE, 2015: 1592-1599.

[11] [11] Fischer P, Dosovitskiy A, Ilg E, et al. FlowNet: Learning Optical Flow with Convolutional Networks[C]//arXiv, 2015.

[12] [12] Chang J R, Chen Y S. Pyramid Stereo Matching Network[C]//arXiv, 2018.

[13] [13] Guo X, Yang K, Yang W, et al. Group-wise Correlation Stereo Network[M]. arXiv, 2019[2024-07-11].

[14] [14] Li J, Wang P, Xiong P, et al. Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation[C]//2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): IEEE, 2022: 16242-16251.

[15] [15] Xu G, Wang X, Ding X, et al. Iterative Geometry Encoding Volume for Stereo Matching[C]//arXiv, 2023.

[16] [16] Zhao H, Zhou H, Zhang Y, et al. High-Frequency Stereo Matching Network[C]//2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): IEEE, 2023: 1327-1336.

[17] [17] Wang Q, Wu B, Zhu P, et al. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks[C]//arXiv, 2020.

[18] [18] Wang Y, Zhou C, Qi X, et al. UHRNet: a deep learning-based method for accurate 3D reconstruction from a single fringe-pattern[J]. Journal of Modern Optics, 2023, 70(11): 707-722.

[19] [19] Mayer N, Ilg E, Hausser P, et al. A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR): IEEE, 2016: 4040-4048.

[20] [20] Zhang F, Prisacariu V, Yang R, et al. GA-Net: Guided Aggregation Net for End-to-end Stereo Matching[C]//arXiv, 2019.