Publisher
Springer Nature Switzerland
Reference49 articles.
1. Bleyer, M., Gelautz, M.: Simple but effective tree structures for dynamic programming-based stereo matching. In: International Conference on Computer Vision Theory and Applications, vol. 2, pp. 415–422. SCITEPRESS (2008)
2. Chang, J.R., Chen, Y.S.: Pyramid stereo matching network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5410–5418 (2018)
3. Cho, K., van Merriënboer, B., Bahdanau, D., Bengio, Y.: On the properties of neural machine translation: Encoder-decoder approaches. In: Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, Doha, Qatar, pp. 103–111. Association for Computational Linguistics, October 2014. https://doi.org/10.3115/v1/W14-4012
4. Dai, J., et al.: Deformable convolutional networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 764–773 (2017)
5. Dinh, V.Q., Munir, F., Sheri, A.M., Jeon, M.: Disparity estimation using stereo images with different focal lengths. IEEE Trans. Intell. Transp. Syst. 21(12), 5258–5270 (2019)
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