Neural network checkpoints

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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
Publisher: Durham University
Date Created

Depositor: A. Atapour Abarghouei
Date Uploaded: 24 May 2018, 08:05:28
Date Modified: 5 June 2018, 10:06:20
Audit Status: Audits have not yet been run on this file.
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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