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SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos

Research article (IEEE Transactions on Medical Robotics and Bionics, 2023) · cited 15× · AI/ML
academia openalex:W4319996446
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SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos

Summary

SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos is a scholarly article[1].

Key Facts

  • SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos. Retrieved May 24, 2026, from https://4ort.xyz/entity/svt-sde-spatiotemporal-vision-transformers-based-self-supervised-depth-estimation-in-stereoscopic-surgical-videos
MLA “SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/svt-sde-spatiotemporal-vision-transformers-based-self-supervised-depth-estimation-in-stereoscopic-surgical-videos.
BibTeX @misc{4ortxyz_svt-sde-spatiotemporal-vision-transformers-based-self-supervised-depth-estimation-in-stereoscopic-surgical-videos_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos}}, year = {2026}, url = {https://4ort.xyz/entity/svt-sde-spatiotemporal-vision-transformers-based-self-supervised-depth-estimation-in-stereoscopic-surgical-videos}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos — https://4ort.xyz/entity/svt-sde-spatiotemporal-vision-transformers-based-self-supervised-depth-estimation-in-stereoscopic-surgical-videos (retrieved 2026-05-24)

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