EMTNet: efficient mobile transformer network for real-time monocular depth estimation

DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation

(2023) Zhenyu Li et al.   Machine Intelligence Research

ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis

(2022) Onat Dalmaz et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

ConViT: improving vision transformers with soft convolutional inductive biases*

(2022) Stéphane d’Ascoli et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation

(2020) Jun Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

(2016) Fayao Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

ORB-SLAM: A Versatile and Accurate Monocular SLAM System

(2015) Raul Mur-Artal et al.   IEEE Transactions on Robotics

Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling

(2014) Kevin Karsch et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Vision meets robotics: The KITTI dataset

(2013) A Geiger et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION