CAttNet: A Compound Attention Network for Depth Estimation of Light Field Images
Dingkang Hua, Qian Zhang, Wan Liao, Bin Wang, and Tao Yan, Journal of Information Processing Systems Vol. 19, No. 4, pp. 483-497, Aug. 2023
https://doi.org/10.3745/JIPS.02.0201
Keywords: Attention network, Deep Learning, depth estimation, Light Field
Fulltext:
Abstract
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
|
Cite this article
[APA Style]
Hua, D., Zhang, Q., Liao, W., Wang, B., & Yan, a. (2023). CAttNet: A Compound Attention Network for Depth Estimation of Light Field Images. Journal of Information Processing Systems, 19(4), 483-497. DOI: 10.3745/JIPS.02.0201.
[IEEE Style]
D. Hua, Q. Zhang, W. Liao, B. Wang, a. T. Yan, "CAttNet: A Compound Attention Network for Depth Estimation of Light Field Images," Journal of Information Processing Systems, vol. 19, no. 4, pp. 483-497, 2023. DOI: 10.3745/JIPS.02.0201.
[ACM Style]
Dingkang Hua, Qian Zhang, Wan Liao, Bin Wang, and and Tao Yan. 2023. CAttNet: A Compound Attention Network for Depth Estimation of Light Field Images. Journal of Information Processing Systems, 19, 4, (2023), 483-497. DOI: 10.3745/JIPS.02.0201.