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Style transfer-based image synthesis as an efficient regularization technique in deep learning

Research article (2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR), 2019) · cited 25× · AI/ML
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Style transfer-based image synthesis as an efficient regularization technique in deep learning

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Style transfer-based image synthesis as an efficient regularization technique in deep learning is a scholarly article[1].

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  • Style transfer-based image synthesis as an efficient regularization technique in deep learning's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Style transfer-based image synthesis as an efficient regularization technique in deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/style-transfer-based-image-synthesis-as-an-efficient-regularization-technique-in-deep-learning
MLA “Style transfer-based image synthesis as an efficient regularization technique in deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/style-transfer-based-image-synthesis-as-an-efficient-regularization-technique-in-deep-learning.
BibTeX @misc{4ortxyz_style-transfer-based-image-synthesis-as-an-efficient-regularization-technique-in-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Style transfer-based image synthesis as an efficient regularization technique in deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/style-transfer-based-image-synthesis-as-an-efficient-regularization-technique-in-deep-learning}, note = {Accessed: 2026-05-24}}
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