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Neural network checkpoints Open Access

Descriptions

Resource type
Other
Contributors
Creator: Atapour-Abarghouei, Amir 1
Creator: Breckon, Toby P. 1
1 Durham University, UK
Funder
Research methods
Other description
Neural network checkpoints associated with the work entitled: Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer / written by A. Atapour-Abarghouei and T.P. Breckon. -- In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2018 : Salt Lake City, Utah).
The files are to be used with the code at  https://github.com/atapour/styleDepth-Inference

Keyword
Computer vision
Image processing
Monocular depth estimation
Image style transfer
Domain adaptation
Subject
Vision, Monocular
Image processing
Location
Language
Cited in
Identifier
ark:/32150/r2rf55z770q
doi:10.15128/r2rf55z770q
Rights
All rights reserved All rights reserved
Publisher
Durham University
Date Created

File Details

Depositor
A. Atapour Abarghouei
Date Uploaded
Date Modified
5 June 2018, 10:06:20
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Characterization
File format: zip (ZIP Format)
Mime type: application/zip
File size: 244550966
Last modified: 2018:05:24 16:59:12+01:00
Filename: checkpoints.zip
Original checksum: b176b00450ce9aaf3ef812087ed3ef49
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