Multi-Frame Self-Supervised Depth with Transformers (original) (raw)

RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes

Armin Mustafa

ArXiv, 2020

View PDFchevron_right

ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation

Vinay Kaushik

IEEE Robotics and Automation Letters, 2021

View PDFchevron_right

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

Jamie Watson

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

View PDFchevron_right

ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation

Anthony Tzes

Proceedings of the AAAI Conference on Artificial Intelligence

View PDFchevron_right

A Lightweight Self-Supervised Training Framework for Monocular Depth Estimation

Shan Du

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

View PDFchevron_right

Learning Monocular Depth by Distilling Cross-Domain Stereo Networks

Shuai Yi

Computer Vision – ECCV 2018, 2018

View PDFchevron_right

Ing for Self-Supervised Monocular Depth

Vitor Guizilini

2020

View PDFchevron_right

Self-supervised recurrent depth estimation with attention mechanisms

Sergey Nikolenko

PeerJ Computer Science

View PDFchevron_right

X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation

shubhankar borse

2021

View PDFchevron_right

Learn to Adapt for Monocular Depth Estimation

Gary Yen

Cornell University - arXiv, 2022

View PDFchevron_right

Self-Supervised Learning of Domain Invariant Features for Depth Estimation

Shariq Bhat

2021

View PDFchevron_right

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Vitor Guizilini

2020

View PDFchevron_right

Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning

Chae Rhee

Proceedings of the AAAI Conference on Artificial Intelligence

View PDFchevron_right

Guiding Monocular Depth Estimation Using Depth-Attention Volume

Lam Huynh

Computer Vision – ECCV 2020, 2020

View PDFchevron_right

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation

Rajeev Yasarla, Hong Cai

arXiv (Cornell University), 2023

View PDFchevron_right

NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis

Martin R. Oswald

2021 International Conference on 3D Vision (3DV), 2021

View PDFchevron_right

Monocular Depth Estimation with Adaptive Geometric Attention

Jason Hayward

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022

View PDFchevron_right

3D Packing for Self-Supervised Monocular Depth Estimation

Vitor Guizilini

arXiv (Cornell University), 2019

View PDFchevron_right

Self-Supervised Correlational Monocular Depth Estimation using ResVGG Network

Kuo Shiuan Peng

Proceedings of The 7th International Conference on Intelligent Systems and Image Processing 2019

View PDFchevron_right

Toward Domain Independence for Learning-Based Monocular Depth Estimation

Paolo Valigi

IEEE Robotics and Automation Letters, 2017

View PDFchevron_right

DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning

Simon Hadfield

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

View PDFchevron_right

Cascade Network for Self-Supervised Monocular Depth Estimation

Chunlai Chai

ArXiv, 2020

View PDFchevron_right

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

Hatem A . Rashwan

Neurocomputing, 2023

View PDFchevron_right

LocalBins: Improving Depth Estimation by Learning Local Distributions

Shariq Farooq

arXiv (Cornell University), 2022

View PDFchevron_right

CNN Based Monocular Depth Estimation

Hima Valiveti

E3S Web of Conferences, 2021

View PDFchevron_right

MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation

Xingshuai Dong

IEEE Transactions on Intelligent Transportation Systems

View PDFchevron_right

Enhancing Self-Supervised Monocular Depth Estimation with Traditional Visual Odometry

Pier Luigi Dovesi

2019 International Conference on 3D Vision (3DV)

View PDFchevron_right

Progress and Proposals: A Case Study of Monocular Depth Estimation

Khalil Sarwari

2021

View PDFchevron_right

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances

Vitor Guizilini

2019

View PDFchevron_right

Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints

Kenny Chen

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

View PDFchevron_right

Deep Classification Network for Monocular Depth Estimation

Azeez Oluwafemi

2019

View PDFchevron_right

Robust Multimodal Depth Estimation using Transformer based Generative Adversarial Networks

Fahim Faysal Khan

Proceedings of the 30th ACM International Conference on Multimedia

View PDFchevron_right

Self-Supervised Monocular Scene Decomposition and Depth Estimation

Fatma Güney

2021 International Conference on 3D Vision (3DV), 2021

View PDFchevron_right