Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

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OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion

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Canonical Surface Mapping via Geometric Cycle Consistency

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360MonoDepth: High-Resolution 360° Monocular Depth Estimation

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Deep Depth from Focus

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Unsupervised Domain Adaptation for Depth Prediction from Images

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SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving

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Single Image Depth Prediction with Wavelet Decomposition

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MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments

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Learning Object-Specific Distance From a Monocular Image

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Unsupervised Deep Visual-Inertial Odometry with Online Error Correction for RGB-D Imagery

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Depth Estimation from Monocular Images and Sparse Radar Data

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Self-Supervised Relative Depth Learning for Urban Scene Understanding

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Distilled Semantics for Comprehensive Scene Understanding from Videos

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Deflating Dataset Bias Using Synthetic Data Augmentation

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DPSNet: Multitask Learning Using Geometry Reasoning for Scene Depth and Semantics

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Survey of State-of-Art Autonomous Driving Technologies with Deep Learning

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RA-Depth: Resolution Adaptive Self-supervised Monocular Depth Estimation

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The Future of Endoscopic Navigation: A Review of Advanced Endoscopic Vision Technology

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GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network

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Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence

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Inter-Vehicle Distance Estimation Method Based on Monocular Vision Using 3D Detection

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A Deep Learning Based Data Fusion Method for Degradation Modeling and Prognostics

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Gated2Depth: Real-Time Dense Lidar From Gated Images

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SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation With Stacked Generative Adversarial Networks

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Fast Depth Prediction and Obstacle Avoidance on a Monocular Drone Using Probabilistic Convolutional Neural Network

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Is Depth Really Necessary for Salient Object Detection?

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Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction

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Target Search Control of AUV in Underwater Environment With Deep Reinforcement Learning

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DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation From Stereo Imagery

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S2DNet: Depth Estimation From Single Image and Sparse Samples

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Towards Good Practice for CNN-Based Monocular Depth Estimation

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Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency

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RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes

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Learning Single-Image Depth From Videos Using Quality Assessment Networks

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Self-Supervised Monocular Depth Estimation With Multiscale Perception

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Geo-Supervised Visual Depth Prediction

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Learning Unsupervised Multi-View Stereopsis via Robust Photometric ConsistencyPreprint

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Semi-Supervised Deep Learning for Monocular Depth Map PredictionPreprint

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Detecting Deficient Coverage in Colonoscopies

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Geometry-Free View Synthesis: Transformers and no 3D Priors

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SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation

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Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry

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Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation

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Robust Inter-Vehicle Distance Estimation Method Based on Monocular Vision

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Swin-Depth: Using Transformers and Multi-Scale Fusion for Monocular-Based Depth Estimation

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Geometry-Aware Network for Non-rigid Shape Prediction from a Single View

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Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization

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VisionBlender: a tool to efficiently generate computer vision datasets for robotic surgery

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UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robots

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Progressive Hard-Mining Network for Monocular Depth Estimation

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Real-Time Dense Monocular SLAM With Online Adapted Depth Prediction Network

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Monocular 3D Object Detection with Depth from Motion

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Self-Supervised Monocular Depth Estimation With Self-Reference Distillation and Disparity Offset Refinement

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Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments

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