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

Zhan, Huangying, Garg, Ravi, Weerasekera, Chamara Saroj, Li, Kejie, Agarwal, Harsh, Reid, Ian M.·2018·2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
DOI 10.1109/cvpr.2018.00043

Cited by (698)

Items 401–500 of 698

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  14. A Generic Image Processing Pipeline for Enhancing Accuracy and Robustness of Visual Odometry
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  15. Self-supervised Multi-frame Monocular Depth Estimation with Pseudo-LiDAR Pose Enhancement
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  17. DeepMEL: Compiling Visual Multi-Experience Localization into a Deep Neural Network
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  18. Monocular Teach-and-Repeat Navigation using a Deep Steering Network with Scale Estimation
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  20. Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
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  21. Deep learning based monocular visual-inertial odometry
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  22. Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
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  23. HPD-Depth: High performance decoding network for self-supervised monocular depth estimation
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  24. Self-Supervised Single-Line LiDAR Depth Completion
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  25. Autopilot drone in construction: A proof of concept for handling lightweight instruments and materials
    Zeiab Imani, Perry John Forsythe, Alireza Ahmadian Fard Fini, Mojtaba Maghrebi, Steven Travis Waller · 2024 · Results in Engineering
  26. ColVO: Colonoscopic Visual Odometry Considering Geometric and Photometric Consistency
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  28. Unsupervised Deep Learning of Depth, Ego-Motion, and Optical Flow from Stereo Images
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  29. Self-supervised Depth Estimation from Spectral Consistency and Novel View Synthesis
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  30. Self-supervised learning of monocular 3D geometry understanding with two- and three-view geometric constraints
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  31. Unsupervised Monocular Depth and Camera Pose Estimation with Multiple Masks and Geometric Consistency Constraints
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  33. Towards Camera Parameters Invariant Monocular Depth Estimation in Autonomous Driving
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  35. Visual Odometry with Deep Bidirectional Recurrent Neural Networks
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  36. Joint Unsupervised Learning of Depth, Pose, Ground Normal Vector and Ground Segmentation by a Monocular Camera Sensor
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  60. Self-Supervised Monocular Depth Estimation from Videos via Pose-Adaptive Reconstruction
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  61. The Fourth Monocular Depth Estimation Challenge
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  62. An Adaptive Unsupervised Learning Framework for Monocular Depth Estimation
    Delong Yang, Xunyu Zhong, Lixiong Lin, Xiafu Peng · 2019 · IEEE Access
  63. A Lightweight Self-Supervised Training Framework for Monocular Depth Estimation
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  64. Unsupervised Monocular Visual Odometry for Fast-Moving Scenes Based on Optical Flow Network with Feature Point Matching Constraint
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  65. Unsupervised Learning of Depth and Pose Based on Monocular Camera and Inertial Measurement Unit (IMU)
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  67. Self-supervised multi-task learning framework for safety and health-oriented road environment surveillance based on connected vehicle visual perception
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  68. Unsupervised Learning of Depth and Ego-Motion with Spatial-Temporal Geometric Constraints
    Anjie Wang, Yongbin Gao, Zhijun Fang, Xiaoyan Jiang, Shanshe Wang, Siwei Ma, Jenq–Neng Hwang · 2019 · IEEE International Conference on Multimedia and Expo (ICME)
  69. Monocular depth estimation with geometrical guidance using a multi-level convolutional neural network
    Hamed Amini Amirkolaee, Hossein Arefi · 2019 · Applied Soft Computing
  70. RDRF-Net: A pyramid architecture network with residual-based dynamic receptive fields for unsupervised depth estimation
    Zhenyan Ji, Xiaojun Song, Houbin Song, Yang Hong, Xiaoxuan Guo · 2021 · Neurocomputing
  71. UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling
    V. Madhu Babu, Swagat Kumar, Anima Majumder, Kaushik Das · 2018 · arXiv (Cornell University)
  72. Artificial Intelligence Surgery
    2021 · Artificial Intelligence Surgery
  73. Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
    Jianfeng Li, Junqiao Zhao, Shuangfu Song, Tiantian Feng · 2021 · arXiv (Cornell University)
  74. BoRe-Depth: Self-Supervised Monocular Depth Estimation with Boundary Refinement for Embedded Systems
    Chang Liu, Juan Li, Sheng Zhang, Chang Liu, Jie Li, Xu Zhang · 2025 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  75. Depth Estimation Algorithm Based on Transformer-Encoder and Feature Fusion
    Linhan Xia, Junbang Liu, Tong Wu · 2024 · International Conference on Advanced Algorithms and Control Engineering (ICAACE)
  76. Domain Shared and Specific Prompt Learning for Incremental Monocular Depth Estimation
    Zhiwen Yang, Liang Li, Jiehua Zhang, Tingyu Wang, Yaoqi Sun, Chenggang Clarence Yan · 2024 · ACM International Conference on Multimedia (ACM MM)
  77. Calculating Depth for Dark Images Using Self-Supervised Learning: An Investigation of the Role of Edge Maps as Input
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  78. A Semi-Supervised Monocular Stereo Matching Method
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  79. Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation
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  80. Optical Flow Assisted Monocular Visual Odometry
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  81. Encoder-Decoder Structure with Multiscale Receptive Field Block for Unsupervised Depth Estimation from Monocular Video
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  82. An Unsupervised Monocular Visual Odometry Based on Multi-Scale Modeling
    Henghui Zhi, Chenyang Yin, Huibin Li, Shanmin Pang · 2022 · Sensors
  83. Self-supervised Relative Pose with Homography Model-fitting in the Loop
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  84. TP-GAN: Simple Adversarial Network With Additional Player for Dense Depth Image Estimation
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  85. Relative order constraint for monocular depth estimation
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  86. A Hybrid Vision-Based Method of Encountered Wave Field Measurement for Navigating Surface Vehicles
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  87. A comprehensive system for 3D display: From image capture to autostereoscopic playback
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  88. Recursive noisy label learning paradigm based on confidence measurement for semi-supervised depth completion
    Guancheng Chen, Huabiao Qin, Linyi Huang · 2024 · International Journal of Machine Learning and Cybernetics
  89. CFDepthNet: Monocular Depth Estimation Introducing Coordinate Attention and Texture Features
    Wei Feng, Jie Zhu, Huibin Wang, Jie Shen · 2024 · Neural Processing Letters
  90. Synthetic Data Enhancement and Network Compression Technology of Monocular Depth Estimation for Real-Time Autonomous Driving System
    Woomin Jun, Ji‐Sang Yoo, Sungjin Lee · 2024 · Sensors
  91. Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
    Keonhee Han, Dominik Muhle, Felix Wimbauer, Daniel Cremers · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  92. Deep Depth‐Flow Odometry With Inertial Sensor Fusion
    Jeongmin Kang · 2025 · Electronics Letters
  93. Encoder–decoder with densely convolutional networks for monocular depth estimation
    Songnan Chen, Mengxia Tang, Jiangming Kan · 2019 · Journal of the Optical Society of America A
  94. Self-Supervised Correlational Monocular Depth Estimation using ResVGG Network
    Kuo Shiuan Peng, Ditzler Gregory, Jerzy W. Rozenblit · 2019 · International Conference on Intelligent Systems and Image Processing (ICISIP)
  95. Self-Supervised Learning of Visual Odometry
    Lesheng Song, Wan Luo · 2020 · International Conference on Information Science, Parallel and Distributed Systems (ISPDS)
  96. A new Evaluation Approach for Deep Learning-based Monocular Depth Estimation Methods
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  97. Monocular Visual Odometry based on joint unsupervised learning of depth and optical flow with geometric constraints
    Xiangrui Meng, Bo Sun · 2021 · Journal of Physics Conference Series
  98. MLSS-VO: A Multi-Level Scale Stabilizer with Self-Supervised Features for Monocular Visual Odometry in Target Tracking
    Zihao Wang, Sen Yang, Mengji Shi, Kaiyu Qin · 2022 · Electronics
  99. Forecasting of depth and ego-motion with transformers and self-supervision
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  100. Line–Circle–Square (LCS): A multilayered geometric filter for edge-based detection
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