SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure
Summary
SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure is a scholarly article[1].
Key Facts
SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure. Retrieved May 24, 2026, from https://4ort.xyz/entity/segroadv2-a-hybrid-deformable-self-attention-and-convolutional-network-for-road-extraction-with-connectivity-structure
MLA“SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/segroadv2-a-hybrid-deformable-self-attention-and-convolutional-network-for-road-extraction-with-connectivity-structure.
BibTeX@misc{4ortxyz_segroadv2-a-hybrid-deformable-self-attention-and-convolutional-network-for-road-extraction-with-connectivity-structure_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure}}, year = {2026}, url = {https://4ort.xyz/entity/segroadv2-a-hybrid-deformable-self-attention-and-convolutional-network-for-road-extraction-with-connectivity-structure}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure — https://4ort.xyz/entity/segroadv2-a-hybrid-deformable-self-attention-and-convolutional-network-for-road-extraction-with-connectivity-structure (retrieved 2026-05-24)