Semisupervised learning-based depth estimation with semantic inference guidance

Author:

Zhang Yan,Fan XiaoPeng,Zhao DeBin

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,General Materials Science

Reference57 articles.

1. Saxena A, Min Sun A, Ng AY. Make3D: Learning 3D scene structure from a single still image. IEEE Trans Pattern Anal Mach Intell, 2009, 31: 824–840

2. Eigen D, Puhrsch C, Fergus R. Depth map prediction from a single image using a multi-scale deep network. In: Advances in Neural Information Processing Systems. Montreal, Quebec, 2014. 2366–2374

3. Liu B, Gould S, Koller D. Single image depth estimation from predicted semantic labels. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco: IEEE, 2010. 1253–1260

4. Li C, Kowdle A, Saxena A, et al. Toward holistic scene understanding: Feedback enabled cascaded classification models. IEEE Trans Pattern Anal Mach Intell, 2012, 34: 1394–1408

5. Li B, Shen C, Dai Y, et al. Depth and surface normal estimation from monocular images using regression on deep features and hierarc hical CRFs. In: Computer Vision and Pattern Recognition. Boston: IEEE, 2015. 1119–1127

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