A Review of Benchmark Datasets and Training Loss Functions in Neural Depth Estimation

A Review of Benchmark Datasets and Training Loss Functions in Neural Depth Estimation

In many applications, such as robotic perception, scene understanding, augmented reality, 3D reconstruction, and medical image analysis, depth from images is a fundamentally ill-posed problem. The success of depth estimation models relies on assembling a suitably large and diverse training dataset a...

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Bibliographic Details
Main Authors: Faisal Khan, Shahid Hussain, Shubhajit Basak, Mohamed Moustafa, Peter Corcoran
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Datasets
deep learning
depth datasets
depth estimation
depth loss function
Online Access:https://ieeexplore.ieee.org/document/9598847/

Internet

https://ieeexplore.ieee.org/document/9598847/

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