Home ›
Entities
› academia
› LSRFormer: Efficient Transformer Supply Convolutional Neural Networks With Global Information for Aerial Image Segmentation
LSRFormer: Efficient Transformer Supply Convolutional Neural Networks With Global Information for Aerial Image Segmentation
Research article (IEEE Transactions on Geoscience and Remote Sensing, 2024) · cited 29× · AI/ML
LSRFormer: Efficient Transformer Supply Convolutional Neural Networks With Global Information for Aerial Image Segmentation
Summary
LSRFormer: Efficient Transformer Supply Convolutional Neural Networks With Global Information for Aerial Image Segmentation is a scholarly article[1].
Key Facts
LSRFormer: Efficient Transformer Supply Convolutional Neural Networks With Global Information for Aerial Image Segmentation's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). LSRFormer: Efficient Transformer Supply Convolutional Neural Networks With Global Information for Aerial Image Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/lsrformer-efficient-transformer-supply-convolutional-neural-networks-with-global-information-for-aerial-image-segmentati
MLA“LSRFormer: Efficient Transformer Supply Convolutional Neural Networks With Global Information for Aerial Image Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lsrformer-efficient-transformer-supply-convolutional-neural-networks-with-global-information-for-aerial-image-segmentati.
BibTeX@misc{4ortxyz_lsrformer-efficient-transformer-supply-convolutional-neural-networks-with-global-information-for-aerial-image-segmentati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LSRFormer: Efficient Transformer Supply Convolutional Neural Networks With Global Information for Aerial Image Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/lsrformer-efficient-transformer-supply-convolutional-neural-networks-with-global-information-for-aerial-image-segmentati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LSRFormer: Efficient Transformer Supply Convolutional Neural Networks With Global Information for Aerial Image Segmentation — https://4ort.xyz/entity/lsrformer-efficient-transformer-supply-convolutional-neural-networks-with-global-information-for-aerial-image-segmentati (retrieved 2026-05-24)
