Learning Monocular Depth by Distilling Cross-Domain Stereo Networks (original) (raw)
Related papers
Learn to Adapt for Monocular Depth Estimation
Cornell University - arXiv, 2022
Toward Domain Independence for Learning-Based Monocular Depth Estimation
IEEE Robotics and Automation Letters, 2017
RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes
ArXiv, 2020
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
DISCO: Depth Inference from Stereo using Context
2019
CNN Based Monocular Depth Estimation
E3S Web of Conferences, 2021
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
Lecture Notes in Computer Science, 2018
StereoNet: Guided Hierarchical Refinement for Edge-Aware Depth Prediction
2018
Deep Classification Network for Monocular Depth Estimation
2019
Self-Supervised Correlational Monocular Depth Estimation using ResVGG Network
Proceedings of The 7th International Conference on Intelligent Systems and Image Processing 2019
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation
2021
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
DeMoN: Depth and Motion Network for Learning Monocular Stereo
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
A Lightweight Self-Supervised Training Framework for Monocular Depth Estimation
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Monocular Depth Estimation using Transfer learning-An Overview
E3S Web of Conferences
Ing for Self-Supervised Monocular Depth
2020
Cornell University - arXiv, 2022
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments
Conference on Robot Learning, 2018
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation
IEEE Robotics and Automation Letters, 2021
Monocular Depth Estimation Using Deep Learning: A Review
Sensors
Self-Supervised Learning of Domain Invariant Features for Depth Estimation
2021
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
2020
Multi-Frame Self-Supervised Depth with Transformers
ArXiv, 2022
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning
ArXiv, 2021
NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis
2021 International Conference on 3D Vision (3DV), 2021
Long Range Stereo Matching by Learning Depth and Disparity
ArXiv, 2020
Monocular Depth Estimation using Adversarial Training
University of Minnesota, 2020
Cascade Network for Self-Supervised Monocular Depth Estimation
ArXiv, 2020
Learning Single Camera Depth Estimation Using Dual-Pixels
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Domain-Invariant Stereo Matching Networks
Lecture Notes in Computer Science, 2020
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021