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Applied Science & Technology Full Text (H.W. Wilson)

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SPDepth: Enhancing Self-Supervised Indoor Monocular Depth Estimation via Self-Propagation.

• Authors : Guo, Xiaotong^1,2 (AUTHOR) ; Zhao, Huijie^3,4 (AUTHOR) ; Shao, Shuwei⁵ (AUTHOR)

Subjects: *OPTICAL flow; *MONOCULARS; *GENERALIZATION

• Source: Future Internet. Oct2024, Vol. 16 Issue 10, p375. 14p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Self-supervised rigid object 3-D motion estimation from monocular video.

• Authors : Wan, Yingcai¹ (AUTHOR) ; Zhao, Qiankun¹ (AUTHOR) ; Xu, Jiqian¹ (AUTHOR)

Subjects: *OPTICAL flow; *MONOCULARS; *COMPUTER vision

• Source: Measurement (02632241). Aug2024, Vol. 236, pN.PAG-N.PAG. 1p.

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F[formula omitted]Depth: Self-supervised indoor monocular depth estimation via optical flow consistency and feature map synthesis.

• Authors : Guo, Xiaotong¹ (AUTHOR) ; Zhao, Huijie^1,2,3 (AUTHOR) ; Shao, Shuwei⁴ (AUTHOR)

Subjects: *OPTICAL flow; *MONOCULARS; *OPTICAL losses

• Source: Engineering Applications of Artificial Intelligence. Jul2024:Part D, Vol. 133, pN.PAG-N.PAG. 1p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Monocular depth estimation using self-supervised learning with more effective geometric constraints.

• Authors : Xiong, Mingkang¹ (AUTHOR); Zhang, Zhenghong¹ (AUTHOR); Liu, Jiyuan¹ (AUTHOR)

Subjects: *SUPERVISED learning; *MONOCULARS; *OPTICAL flow

• Source: Engineering Applications of Artificial Intelligence. Feb2024, Vol. 128, pN.PAG-N.PAG. 1p.

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