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Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction.

, , , , , and . CVPR, page 340-349. Computer Vision Foundation / IEEE Computer Society, (2018)

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Dense monocular reconstruction using surface normals., , , and . ICRA, page 2524-2531. IEEE, (2017)DF-VO: What Should Be Learnt for Visual Odometry?, , , , and . CoRR, (2021)Self-supervised Learning for Single View Depth and Surface Normal Estimation., , , and . ICRA, page 4811-4817. IEEE, (2019)Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction., , , , , and . CVPR, page 340-349. Computer Vision Foundation / IEEE Computer Society, (2018)Visual Odometry Revisited: What Should Be Learnt?, , , and . ICRA, page 4203-4210. IEEE, (2020)Just-in-Time Reconstruction: Inpainting Sparse Maps Using Single View Depth Predictors as Priors., , , , and . ICRA, page 1-9. IEEE, (2018)Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction., , and . CoRR, (2017)Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction., , , and . ACCV (5), volume 11365 of Lecture Notes in Computer Science, page 609-624. Springer, (2018)Visual Odometry Revisited: What Should Be Learnt?, , , and . CoRR, (2019)Camera Relocalization by Exploiting Multi-View Constraints for Scene Coordinates Regression., , , , and . ICCV Workshops, page 3769-3777. IEEE, (2019)