Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces
Summary
Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces is a scholarly article[1].
Key Facts
Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces. Retrieved May 24, 2026, from https://4ort.xyz/entity/transform-network-architectures-for-deep-learning-based-end-to-end-image-video-coding-in-subsampled-color-spaces
MLA“Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/transform-network-architectures-for-deep-learning-based-end-to-end-image-video-coding-in-subsampled-color-spaces.
BibTeX@misc{4ortxyz_transform-network-architectures-for-deep-learning-based-end-to-end-image-video-coding-in-subsampled-color-spaces_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces}}, year = {2026}, url = {https://4ort.xyz/entity/transform-network-architectures-for-deep-learning-based-end-to-end-image-video-coding-in-subsampled-color-spaces}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces — https://4ort.xyz/entity/transform-network-architectures-for-deep-learning-based-end-to-end-image-video-coding-in-subsampled-color-spaces (retrieved 2026-05-24)