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). A Unet-inspired spatial-attention transformer model for segmenting gear tooth surface defects. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-unet-inspired-spatial-attention-transformer-model-for-segmenting-gear-tooth-surface-defects
MLA“A Unet-inspired spatial-attention transformer model for segmenting gear tooth surface defects.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-unet-inspired-spatial-attention-transformer-model-for-segmenting-gear-tooth-surface-defects.
BibTeX@misc{4ortxyz_a-unet-inspired-spatial-attention-transformer-model-for-segmenting-gear-tooth-surface-defects_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Unet-inspired spatial-attention transformer model for segmenting gear tooth surface defects}}, year = {2026}, url = {https://4ort.xyz/entity/a-unet-inspired-spatial-attention-transformer-model-for-segmenting-gear-tooth-surface-defects}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Unet-inspired spatial-attention transformer model for segmenting gear tooth surface defects — https://4ort.xyz/entity/a-unet-inspired-spatial-attention-transformer-model-for-segmenting-gear-tooth-surface-defects (retrieved 2026-05-24)
