Image Super-Resolution Using CNN Optimised By Self-Feature Loss

Research article (2019 IEEE International Conference on Image Processing (ICIP), 2019) · cited 10× · AI/ML

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Image Super-Resolution Using CNN Optimised By Self-Feature Loss

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Image Super-Resolution Using CNN Optimised By Self-Feature Loss is a scholarly article^[1].

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Image Super-Resolution Using CNN Optimised By Self-Feature Loss's instance of is recorded as scholarly article^[2].

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Authored by 2

Eran A. Edirisinghe, Slava Chesnokov

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Eran A. Edirisinghe, Slava Chesnokov

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[2] ↑ Image Super-Resolution Using CNN Optimised By Self-Feature Loss — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Image Super-Resolution Using CNN Optimised By Self-Feature Loss is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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4ort.xyz Knowledge Graph. (2026). Image Super-Resolution Using CNN Optimised By Self-Feature Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-super-resolution-using-cnn-optimised-by-self-feature-loss

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“Image Super-Resolution Using CNN Optimised By Self-Feature Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-super-resolution-using-cnn-optimised-by-self-feature-loss.

BibTeX

@misc{4ortxyz_image-super-resolution-using-cnn-optimised-by-self-feature-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image Super-Resolution Using CNN Optimised By Self-Feature Loss}}, year = {2026}, url = {https://4ort.xyz/entity/image-super-resolution-using-cnn-optimised-by-self-feature-loss}, note = {Accessed: 2026-05-24}}

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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image Super-Resolution Using CNN Optimised By Self-Feature Loss — https://4ort.xyz/entity/image-super-resolution-using-cnn-optimised-by-self-feature-loss (retrieved 2026-05-24)

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