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End-to-End Learnable Multi-Scale Feature Compression for VCM

Research article (IEEE Transactions on Circuits and Systems for Video Technology, 2023) · cited 33× · AI/ML
academia openalex:W4385627414
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End-to-End Learnable Multi-Scale Feature Compression for VCM

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End-to-End Learnable Multi-Scale Feature Compression for VCM is a scholarly article[1].

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  • End-to-End Learnable Multi-Scale Feature Compression for VCM's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). End-to-End Learnable Multi-Scale Feature Compression for VCM. Retrieved May 24, 2026, from https://4ort.xyz/entity/end-to-end-learnable-multi-scale-feature-compression-for-vcm
MLA “End-to-End Learnable Multi-Scale Feature Compression for VCM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/end-to-end-learnable-multi-scale-feature-compression-for-vcm.
BibTeX @misc{4ortxyz_end-to-end-learnable-multi-scale-feature-compression-for-vcm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{End-to-End Learnable Multi-Scale Feature Compression for VCM}}, year = {2026}, url = {https://4ort.xyz/entity/end-to-end-learnable-multi-scale-feature-compression-for-vcm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): End-to-End Learnable Multi-Scale Feature Compression for VCM — https://4ort.xyz/entity/end-to-end-learnable-multi-scale-feature-compression-for-vcm (retrieved 2026-05-24)

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