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Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field
Research article (Measurement, 2020) · cited 57× · AI/ML
Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field
Summary
Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field is a scholarly article[1].
Key Facts
Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-recognition-and-analysis-system-of-asphalt-pavement-cracks-using-interleaved-low-rank-group-convolution-hybrid
MLA“Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-recognition-and-analysis-system-of-asphalt-pavement-cracks-using-interleaved-low-rank-group-convolution-hybrid.
BibTeX@misc{4ortxyz_automatic-recognition-and-analysis-system-of-asphalt-pavement-cracks-using-interleaved-low-rank-group-convolution-hybrid_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-recognition-and-analysis-system-of-asphalt-pavement-cracks-using-interleaved-low-rank-group-convolution-hybrid}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field — https://4ort.xyz/entity/automatic-recognition-and-analysis-system-of-asphalt-pavement-cracks-using-interleaved-low-rank-group-convolution-hybrid (retrieved 2026-05-24)
