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A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation
Research article (IEEE Transactions on Geoscience and Remote Sensing, 2025) · cited 12× · AI/ML
A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation
Summary
A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation is a scholarly article[1].
Key Facts
A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation'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). A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-lightweight-semantic-segmentation-network-based-on-self-attention-mechanism-and-state-space-model-for-efficient-urban-
MLA“A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-lightweight-semantic-segmentation-network-based-on-self-attention-mechanism-and-state-space-model-for-efficient-urban-.
BibTeX@misc{4ortxyz_a-lightweight-semantic-segmentation-network-based-on-self-attention-mechanism-and-state-space-model-for-efficient-urban-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/a-lightweight-semantic-segmentation-network-based-on-self-attention-mechanism-and-state-space-model-for-efficient-urban-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation — https://4ort.xyz/entity/a-lightweight-semantic-segmentation-network-based-on-self-attention-mechanism-and-state-space-model-for-efficient-urban- (retrieved 2026-05-24)
