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Self-Supervised Monocular Depth Estimation via Binocular Geometric Correlation Learning

https://doi.org/10.1145/3663570
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01228-1_3openalex-snapshot
DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency
inferredcites →https://doi.org/10.1007/978-3-030-01237-3_50openalex-snapshot
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
inferredcites →https://doi.org/10.1007/978-3-030-01252-6_2openalex-snapshot
Self-Supervised Relative Depth Learning for Urban Scene Understanding
inferredcites →https://doi.org/10.1007/978-3-030-01252-6_30openalex-snapshot
Learning Monocular Depth by Distilling Cross-Domain Stereo Networks
inferredcites →https://doi.org/10.1007/978-3-030-58529-7_34openalex-snapshot
Feature-Metric Loss for Self-supervised Learning of Depth and Egomotion
inferredcites →https://doi.org/10.1007/978-3-030-58565-5_35openalex-snapshot
Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_45openalex-snapshot
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
inferredcites →https://doi.org/10.1007/s11263-007-0071-yopenalex-snapshot
3-D Depth Reconstruction from a Single Still Image
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/3dv.2016.32openalex-snapshot
Deeper Depth Prediction with Fully Convolutional Residual Networks
inferredcites →https://doi.org/10.1109/3dv.2018.00044openalex-snapshot
Structured Adversarial Training for Unsupervised Monocular Depth Estimation
inferredcites →https://doi.org/10.1109/3dv.2018.00045openalex-snapshot
Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298897openalex-snapshot
Towards unified depth and semantic prediction from a single image
inferredcites →https://doi.org/10.1109/cvpr.2015.7299152openalex-snapshot
Deep convolutional neural fields for depth estimation from a single image
inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot
The Cityscapes Dataset for Semantic Urban Scene Understanding
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.238openalex-snapshot
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
inferredcites →https://doi.org/10.1109/cvpr.2017.699openalex-snapshot
Unsupervised Monocular Depth Estimation with Left-Right Consistency
inferredcites →https://doi.org/10.1109/cvpr.2017.700openalex-snapshot
Unsupervised Learning of Depth and Ego-Motion from Video
inferredcites →https://doi.org/10.1109/cvpr.2018.00043openalex-snapshot
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
inferredcites →https://doi.org/10.1109/cvpr.2018.00214openalex-snapshot
Deep Ordinal Regression Network for Monocular Depth Estimation
inferredcites →https://doi.org/10.1109/cvpr.2018.00216openalex-snapshot
Learning Depth from Monocular Videos Using Direct Methods
inferredcites →https://doi.org/10.1109/cvpr.2018.00412openalex-snapshot
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
inferredcites →https://doi.org/10.1109/cvpr.2018.00594openalex-snapshot
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
inferredcites →https://doi.org/10.1109/cvpr.2019.00273openalex-snapshot
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation
inferredcites →https://doi.org/10.1109/cvpr.2019.00570openalex-snapshot
Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth
inferredcites →https://doi.org/10.1109/cvpr.2019.00579openalex-snapshot
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
inferredcites →https://doi.org/10.1109/cvpr.2019.01252openalex-snapshot
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
inferredcites →https://doi.org/10.1109/cvpr20399.2014openalex-snapshot
2014 IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00329openalex-snapshot
On the Uncertainty of Self-Supervised Monocular Depth Estimation
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00882openalex-snapshot
Fully Self-Supervised Depth Estimation from Defocus Clue
inferredcites →https://doi.org/10.1109/cvprw.2019.00348openalex-snapshot
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation
inferredcites →https://doi.org/10.1109/iccv.2015.304openalex-snapshot
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
inferredcites →https://doi.org/10.1109/iccv.2019.00225openalex-snapshot
Self-Supervised Monocular Depth Hints
inferredcites →https://doi.org/10.1109/iccv.2019.00393openalex-snapshot
Digging Into Self-Supervised Monocular Depth Estimation
inferredcites →https://doi.org/10.1109/tbdata.2019.2907127openalex-snapshot
Deep Neural Network-Based Impacts Analysis of Multimodal Factors on Heat Demand Prediction
inferredcites →https://doi.org/10.1109/tcsvt.2017.2740321openalex-snapshot
Estimating Depth From Monocular Images as Classification Using Deep Fully Convolutional Residual Networks
inferredcites →https://doi.org/10.1109/tip.2020.2968751openalex-snapshot
Adversarial Learning for Joint Optimization of Depth and Ego-Motion
inferredcites →https://doi.org/10.1109/tip.2020.3007843openalex-snapshot
An Object Context Integrated Network for Joint Learning of Depth and Optical Flow
inferredcites →https://doi.org/10.1109/tip.2021.3061901openalex-snapshot
Joint Depth and Defocus Estimation From a Single Image Using Physical Consistency
inferredcites →https://doi.org/10.1109/tits.2022.3219604openalex-snapshot
Self-Supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness
inferredcites →https://doi.org/10.1109/tnn.2010.2063350openalex-snapshot
2011 International Joint Conference on Neural Networks
inferredcites →https://doi.org/10.1109/tnnls.2022.3221416openalex-snapshot
Unsupervised Monocular Depth Estimation With Channel and Spatial Attention
inferredcites →https://doi.org/10.1109/tpami.2010.172openalex-snapshot
Reliability Fusion of Time-of-Flight Depth and Stereo Geometry for High Quality Depth Maps
inferredcites →https://doi.org/10.1109/tpami.2015.2505283openalex-snapshot
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
inferredcites →https://doi.org/10.1109/tpami.2018.2839602openalex-snapshot
Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep Networks
inferredcites →https://doi.org/10.1109/tpami.2019.2940948openalex-snapshot
Unsupervised Domain Adaptation for Depth Prediction from Images
inferredcites →https://doi.org/10.1109/wacv56688.2023.00576openalex-snapshot
Frequency-Aware Self-Supervised Monocular Depth Estimation
inferredcites →https://doi.org/10.1145/3471870openalex-snapshot
Sparse LIDAR Measurement Fusion with Joint Updating Cost for Fast Stereo Matching
inferredcites →https://doi.org/10.1145/3506733openalex-snapshot
A Spatial Relationship Preserving Adversarial Network for 3D Reconstruction from a Single Depth View
inferredcites →https://doi.org/10.1145/3588571openalex-snapshot
Self-Supervised Learning of Depth and Ego-Motion for 3D Perception in Human Computer Interaction
inferredcites →https://doi.org/10.1145/3596445openalex-snapshot
Modeling Long-range Dependencies and Epipolar Geometry for Multi-view Stereo
inferredcites →https://doi.org/10.1145/3603534openalex-snapshot
Introduction to the Special Issue on Trustworthy Multimedia Computing and Applications in Urban Scenes

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-95-5693-9_27openalex-snapshot
HM-Net: Hierarchical Attention-Weighted Multimodal Feature Fusion Network for Echo-Visual Depth Estimation
inferred← citeshttps://doi.org/10.1049/ipr2.70309openalex-snapshot
Self‐Supervised Monocular Depth Estimation: A Review of Paradigms, Evaluation Protocols, and Technical Advances
inferred← citeshttps://doi.org/10.1109/cnml68938.2026.11452365openalex-snapshot
3DGS-Depth: Occlusion-aware Self-supervised Monocular Depth Estimation via 3D Gaussian Splatting
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3552598openalex-snapshot
A Survey on Self-Supervised Monocular Depth Estimation Based on Deep Neural Networks
inferred← citeshttps://doi.org/10.1145/3694978openalex-snapshot
Transparent Depth Completion Using Segmentation Features
inferred← citeshttps://doi.org/10.1145/3731760openalex-snapshot
EnIter: Enhancing Iterative Multi-View Depth Estimation with Universal Contextual Hints
inferred← citeshttps://doi.org/10.1145/3750050openalex-snapshot
ER-Depth: Enhancing the Robustness of Self-Supervised Monocular Depth Estimation in Challenging Scenes
inferred← citeshttps://doi.org/10.1145/3773767openalex-snapshot
Depth-Aware Transformer for Aerial Localization
inferred← citeshttps://doi.org/10.3390/app14188428openalex-snapshot
A Watermark-Based Scheme for Authenticating JPEG 2000 Image Integrity That Complies with JPEG Privacy and Security
inferred← citeshttps://doi.org/10.3390/rs16132287openalex-snapshot
Reinforcement Learning and Genetic Algorithm-Based Network Module for Camera-LiDAR Detection
inferred← citeshttps://doi.org/10.3390/s24134178openalex-snapshot
A Robust Monocular and Binocular Visual Ranging Fusion Method Based on an Adaptive UKF
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