SP-Flow: Self-supervised optical flow correspondence point prediction for real-time SLAM

Research article (Computer Aided Geometric Design, 2020) · cited 10× · AI/ML
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SP-Flow: Self-supervised optical flow correspondence point prediction for real-time SLAM

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SP-Flow: Self-supervised optical flow correspondence point prediction for real-time SLAM is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SP-Flow: Self-supervised optical flow correspondence point prediction for real-time SLAM. Retrieved May 24, 2026, from https://4ort.xyz/entity/sp-flow-self-supervised-optical-flow-correspondence-point-prediction-for-real-time-slam
MLA “SP-Flow: Self-supervised optical flow correspondence point prediction for real-time SLAM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sp-flow-self-supervised-optical-flow-correspondence-point-prediction-for-real-time-slam.
BibTeX @misc{4ortxyz_sp-flow-self-supervised-optical-flow-correspondence-point-prediction-for-real-time-slam_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SP-Flow: Self-supervised optical flow correspondence point prediction for real-time SLAM}}, year = {2026}, url = {https://4ort.xyz/entity/sp-flow-self-supervised-optical-flow-correspondence-point-prediction-for-real-time-slam}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SP-Flow: Self-supervised optical flow correspondence point prediction for real-time SLAM — https://4ort.xyz/entity/sp-flow-self-supervised-optical-flow-correspondence-point-prediction-for-real-time-slam (retrieved 2026-05-24)

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