1 |
J.R. Chang, Y.S. Chen, "Pyramid Stereo Matching Network," Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA. New York, pp. 5410-5418, 2018.
|
2 |
Z.Q. Jie, P.F. Wang, Y.G Ling, B. Zhao, Y. Wei, J. Feng, W. Liu, "Left-right Comparative Recurrent Model for Stereo Matching," Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA. New York, pp. 3838-3846, 2018.
|
3 |
F.H. Zhang, V Prisacariu, R. Yang, P.H.S. Torr, "GA-Net: Guided Aggregation Net for End-To-End Stereo Matching," IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Long Beach, CA, USA, pp. 185-194, 2019.
|
4 |
D.P. Kingma, J. Ba, "Adam: A Method for Stochastic Optimization," http://cn.arxiv.org/abs/1412.6980, 2017.
|
5 |
N. Smolyanskiy, A. Kamenev, S. Birchfield, "On the Importance of Stereo for Accurate Depth Estimation: an Efficient Semi-supervised Deep Neural Network approach," Conference on Computer Vision and Pattern Recognition Workshops, Salt Lake City, UT, USA. New York, pp. 1120-1128, 2018.
|
6 |
E. Shelhamer, J. Long, T. Darrell, "Fully Convolutional Networks for Semantic Segmentation," Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 4, pp. 640-651, 2017.
DOI
|
7 |
L.D. Yu, Y.C. Wang, Y.W. Wu, Y.D. Jia, "Deep Stereo Matching with Explicit Cost Aggregation Sub-architecture," http://cn.arxiv.org/abs/1801.04065, 2018.
|
8 |
J.H. Huang, R.F. Zhang, Y.H. Liu, "Research on An Optimized Deep Learning Stereo Matching Algorithm," Laser & Optoelectronics Progress, Vol. 58, No. 24, pp. 37-55, 2021.
|
9 |
R. Girshick, "Fast R-CNN," International Conference on Computer Vision, Santiago, Chile. New York, pp. 1440-1448, 2015.
|
10 |
Z.F. Liang, Y.L. Feng, Y.L. Guo, H. Liu, W. Chen, L. Qiao, L. Zhou, J. Zhang, "Learning for Disparity Estimation Through Feature Constancy," Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA. New York, pp. 2811-2820, 2018.
|
11 |
R.A. Hamzah, H. Ibrahim, A.H.A. Hassan, "Stereo Matching Algorithm Based on per Pixel Difference Adjustment, Iterative Guided Filter and Graph Segmentation," Journal of Visual Communication and Image Representation, pp. 145-160, 2017.
|
12 |
S.Q. Ren, K.M. He, R. Girshick, J. Sun, "Faster R-CNN: Towards Real-time Object Detection with Region Proposal Networks," Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 6, pp. 1137-1149, 2015.
|
13 |
J.S. Xiao, H. Tian, W.T. Zou, "Stereo Matching Based on Convolutional Neural Network," Acta Optica Sinica, 2018.
|
14 |
J. Zbontar, Y. LeCun, "Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches," Journal of Machine Learning Research, Vol. 17, No. 1, pp. 2287-2318, 2016.
|
15 |
J.H. Pang, W.X. Sun, J.S. Ren, "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching," International Conference on Computer Vision Workshops, Venice, Italy. New York, pp. 878-886, 2017.
|
16 |
A. Kendall, H. Martirosyan, S. Dasgupta, P. Henry, R. Kennedy, A. Bachrach, A. Bry, "End-to-end Learning of Geometry and Context for Deep Stereo Regression", International Conference on Computer Vision, Venice, Italy. New York, pp. 66-75, 2017.
|
17 |
W.J. Luo, A.G. Schwing, R. Urtasun, "Efficient Deep Learning for Stereo Matching," Conference on Computer Vision and Pattern Recognition, Las Vegas, UT, USA. New York, pp. 5695-5703, 2016.
|
18 |
V.D. Nguyen, D.D. Nguyen, S.J. Lee, J,W. Jeon,, "Local Density Encoding for Robust Stereo Matching," Transactions on Circuits and Systems for Video Technology, Vol. 24, No. 12, pp. 2049-2062, 2014.
DOI
|
19 |
N. Mayer, E. Ilg, P. Hausser, "A Large Dataset to Train Convolutional Network for Disparity, Optical Flow, and Scene Flow Estimation," Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, New York, pp. 4040-4048, 2016.
|