AHC-Net: a road crack segmentation network based on dual attention mechanism and multi-feature fusion
Summary
AHC-Net: a road crack segmentation network based on dual attention mechanism and multi-feature fusion is a scholarly article[1].
Key Facts
AHC-Net: a road crack segmentation network based on dual attention mechanism and multi-feature fusion'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). AHC-Net: a road crack segmentation network based on dual attention mechanism and multi-feature fusion. Retrieved May 24, 2026, from https://4ort.xyz/entity/ahc-net-a-road-crack-segmentation-network-based-on-dual-attention-mechanism-and-multi-feature-fusion
MLA“AHC-Net: a road crack segmentation network based on dual attention mechanism and multi-feature fusion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ahc-net-a-road-crack-segmentation-network-based-on-dual-attention-mechanism-and-multi-feature-fusion.
BibTeX@misc{4ortxyz_ahc-net-a-road-crack-segmentation-network-based-on-dual-attention-mechanism-and-multi-feature-fusion_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AHC-Net: a road crack segmentation network based on dual attention mechanism and multi-feature fusion}}, year = {2026}, url = {https://4ort.xyz/entity/ahc-net-a-road-crack-segmentation-network-based-on-dual-attention-mechanism-and-multi-feature-fusion}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AHC-Net: a road crack segmentation network based on dual attention mechanism and multi-feature fusion — https://4ort.xyz/entity/ahc-net-a-road-crack-segmentation-network-based-on-dual-attention-mechanism-and-multi-feature-fusion (retrieved 2026-05-24)