Cited by 946Image Enhancement TechniquesGenerative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

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Learning Representations for Automatic Colorization

Larsson, Gustav, Maire, Michael, Shakhnarovich, Gregory·2016·Lecture Notes in Computer Science

DOI 10.1007/978-3-319-46493-0_35

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“Colorization-based SSL methods convert an image to grayscale, and then train a network to predict the original RGB values [Zhang et al., 2016, Larsson et al., 2016, Vondrick et al., 2018].”
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Authors: Larsson, G., Maire, M., & Shakhnarovich, G.
Affiliations: University of Chicago (US)
Toyota Technological Institute at Chicago (US)
Corresponding author: Larsson, Gustav
ORCID: Larsson, Gustav
Maire, Michael
Shakhnarovich, Gregory
Venue: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Published: 2016
Pages: 577-593
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-319-46493-0_35
OpenAlex: W2308529009
Cited by: 946
References: 51
Citations by year: 2026: 25 · 2025: 45 · 2024: 75 · 2023: 109 · 2022: 179 · 2021: 176 · 2020: 133 · 2019: 93 · 2018: 63 · 2017: 43 · 2016: 5
FWCI: 23.60
Type: conference paper
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Lecture notes in computer science (publishedVersion)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Keywords: image colorization, automatic colorization, self-supervised visual representation learning, semantic representation

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