Self-Supervised Monocular Depth Hints
暂无分享,去创建一个
Gabriel J. Brostow | Daniyar Turmukhambetov | Michael Firman | Jamie Watson | G. Brostow | Michael Firman | Daniyar Turmukhambetov | Jamie Watson
[1] Wei Xu,et al. Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Heiko Hirschmüller,et al. Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Jan Kautz,et al. Loss Functions for Image Restoration With Neural Networks , 2017, IEEE Transactions on Computational Imaging.
[4] Stefano Mattoccia,et al. Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Dacheng Tao,et al. Deep Ordinal Regression Network for Monocular Depth Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Michael J. Black,et al. Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Alex Kendall,et al. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? , 2017, NIPS.
[10] Alexander G. Hauptmann,et al. Guided Optical Flow Learning , 2017, ArXiv.
[11] Xu Zhao,et al. EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection , 2020, International Journal of Computer Vision.
[12] Ruigang Yang,et al. Learning Depth with Convolutional Spatial Propagation Network , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Didier Stricker,et al. Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] H. Hirschmüller. Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information , 2005, CVPR.
[15] Daniel Cremers,et al. Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Wei Xu,et al. Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency , 2017, ArXiv.
[17] Ian D. Reid,et al. Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Luigi di Stefano,et al. Geometry meets semantics for semi-supervised monocular depth estimation , 2018, ACCV.
[19] Simon Lucey,et al. Learning Depth from Monocular Videos Using Direct Methods , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Andrea Vedaldi,et al. Supervising the New with the Old: Learning SFM from SFM , 2018, ECCV.
[21] Gustavo Carneiro,et al. Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue , 2016, ECCV.
[22] Oisin Mac Aodha,et al. Unsupervised Monocular Depth Estimation with Left-Right Consistency , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Jia-Bin Huang,et al. DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency , 2018, ECCV.
[24] Thomas Brox,et al. A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Wei Xu,et al. LEGO: Learning Edge with Geometry all at Once by Watching Videos , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[26] Yong-Sheng Chen,et al. Pyramid Stereo Matching Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[27] Thomas Brox,et al. Sparsity Invariant CNNs , 2017, 2017 International Conference on 3D Vision (3DV).
[28] P. J. Narayanan,et al. Structured Adversarial Training for Unsupervised Monocular Depth Estimation , 2018, 2018 International Conference on 3D Vision (3DV).
[29] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[30] Rares Ambrus,et al. SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[31] Anelia Angelova,et al. Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[32] Gabriel J. Brostow,et al. Digging Into Self-Supervised Monocular Depth Estimation , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Xiaogang Wang,et al. Learning Monocular Depth by Distilling Cross-domain Stereo Networks , 2018, ECCV.
[35] Jörg Stückler,et al. Semi-Supervised Deep Learning for Monocular Depth Map Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Nassir Navab,et al. Deeper Depth Prediction with Fully Convolutional Residual Networks , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[37] Rob Fergus,et al. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network , 2014, NIPS.
[38] Noah Snavely,et al. Unsupervised Learning of Depth and Ego-Motion from Video , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Jörg Stückler,et al. Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry , 2018, ECCV.
[40] Liang Lin,et al. Single View Stereo Matching , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[41] Zhichao Yin,et al. GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[42] Takayuki Okatani,et al. Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries , 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).
[43] Stefano Mattoccia,et al. Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions , 2018, 2018 International Conference on 3D Vision (3DV).