DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes
Summary
DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes is a scholarly article[1].
Key Facts
DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes. Retrieved May 24, 2026, from https://4ort.xyz/entity/ductnet-an-effective-road-crack-segmentation-method-in-uav-remote-sensing-images-under-complex-scenes
MLA“DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ductnet-an-effective-road-crack-segmentation-method-in-uav-remote-sensing-images-under-complex-scenes.
BibTeX@misc{4ortxyz_ductnet-an-effective-road-crack-segmentation-method-in-uav-remote-sensing-images-under-complex-scenes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes}}, year = {2026}, url = {https://4ort.xyz/entity/ductnet-an-effective-road-crack-segmentation-method-in-uav-remote-sensing-images-under-complex-scenes}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes — https://4ort.xyz/entity/ductnet-an-effective-road-crack-segmentation-method-in-uav-remote-sensing-images-under-complex-scenes (retrieved 2026-05-24)
