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RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations
Research article (Journal of Advanced Transportation, 2021) · cited 16× · AI/ML
RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations
Summary
RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations is a scholarly article[1].
Key Facts
RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations'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). RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations. Retrieved May 24, 2026, from https://4ort.xyz/entity/rs-lane-a-robust-lane-detection-method-based-on-resnest-and-self-attention-distillation-for-challenging-traffic-situatio
MLA“RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rs-lane-a-robust-lane-detection-method-based-on-resnest-and-self-attention-distillation-for-challenging-traffic-situatio.
BibTeX@misc{4ortxyz_rs-lane-a-robust-lane-detection-method-based-on-resnest-and-self-attention-distillation-for-challenging-traffic-situatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations}}, year = {2026}, url = {https://4ort.xyz/entity/rs-lane-a-robust-lane-detection-method-based-on-resnest-and-self-attention-distillation-for-challenging-traffic-situatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations — https://4ort.xyz/entity/rs-lane-a-robust-lane-detection-method-based-on-resnest-and-self-attention-distillation-for-challenging-traffic-situatio (retrieved 2026-05-24)
