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Recurrent Residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images
Research article (Remote Sensing, 2023) · cited 10× · AI/ML
Recurrent Residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images
Summary
Recurrent Residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images is a scholarly article[1].
Key Facts
Recurrent Residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images'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). Recurrent Residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/recurrent-residual-deformable-conv-unit-and-multi-head-with-channel-self-attention-based-on-u-net-for-building-extractio
MLA“Recurrent Residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recurrent-residual-deformable-conv-unit-and-multi-head-with-channel-self-attention-based-on-u-net-for-building-extractio.
BibTeX@misc{4ortxyz_recurrent-residual-deformable-conv-unit-and-multi-head-with-channel-self-attention-based-on-u-net-for-building-extractio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recurrent Residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images}}, year = {2026}, url = {https://4ort.xyz/entity/recurrent-residual-deformable-conv-unit-and-multi-head-with-channel-self-attention-based-on-u-net-for-building-extractio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Recurrent Residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images — https://4ort.xyz/entity/recurrent-residual-deformable-conv-unit-and-multi-head-with-channel-self-attention-based-on-u-net-for-building-extractio (retrieved 2026-05-24)
