Real-time video super-resolution using lightweight depthwise separable group convolutions with channel shuffling

Research article (Journal of Visual Communication and Image Representation, 2021) · cited 11× · AI/ML
Press Enter · cited answer in seconds

Real-time video super-resolution using lightweight depthwise separable group convolutions with channel shuffling

Summary

Real-time video super-resolution using lightweight depthwise separable group convolutions with channel shuffling is a scholarly article[1].

Key Facts

  • Real-time video super-resolution using lightweight depthwise separable group convolutions with channel shuffling's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Real-time video super-resolution using lightweight depthwise separable group convolutions with channel shuffling. Retrieved May 24, 2026, from https://4ort.xyz/entity/real-time-video-super-resolution-using-lightweight-depthwise-separable-group-convolutions-with-channel-shuffling
MLA “Real-time video super-resolution using lightweight depthwise separable group convolutions with channel shuffling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/real-time-video-super-resolution-using-lightweight-depthwise-separable-group-convolutions-with-channel-shuffling.
BibTeX @misc{4ortxyz_real-time-video-super-resolution-using-lightweight-depthwise-separable-group-convolutions-with-channel-shuffling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Real-time video super-resolution using lightweight depthwise separable group convolutions with channel shuffling}}, year = {2026}, url = {https://4ort.xyz/entity/real-time-video-super-resolution-using-lightweight-depthwise-separable-group-convolutions-with-channel-shuffling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Real-time video super-resolution using lightweight depthwise separable group convolutions with channel shuffling — https://4ort.xyz/entity/real-time-video-super-resolution-using-lightweight-depthwise-separable-group-convolutions-with-channel-shuffling (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/real-time-video-super-resolution-using-lightweight-depthwise-separable-group-convolutions-with-channel-shuffling · Last refreshed: