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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Autori principali:	Faisal Khan, Shahid Hussain, Shubhajit Basak, Mohamed Moustafa, Peter Corcoran
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2021-01-01
Serie:	IEEE Access
Soggetti:	Datasets deep learning depth datasets depth estimation depth loss function
Accesso online:	https://ieeexplore.ieee.org/document/9598847/
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