EBUNet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit
Summary
EBUNet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit is a scholarly article[1].
Key Facts
EBUNet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). EBUNet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit. Retrieved May 24, 2026, from https://4ort.xyz/entity/ebunet-a-fast-and-accurate-semantic-segmentation-network-with-lightweight-efficient-bottleneck-unit
MLA“EBUNet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ebunet-a-fast-and-accurate-semantic-segmentation-network-with-lightweight-efficient-bottleneck-unit.
BibTeX@misc{4ortxyz_ebunet-a-fast-and-accurate-semantic-segmentation-network-with-lightweight-efficient-bottleneck-unit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EBUNet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit}}, year = {2026}, url = {https://4ort.xyz/entity/ebunet-a-fast-and-accurate-semantic-segmentation-network-with-lightweight-efficient-bottleneck-unit}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EBUNet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit — https://4ort.xyz/entity/ebunet-a-fast-and-accurate-semantic-segmentation-network-with-lightweight-efficient-bottleneck-unit (retrieved 2026-05-24)
