How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 63× · AI/ML
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How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting

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How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting is a scholarly article[1].

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  • How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/how-many-observations-are-enough-knowledge-distillation-for-trajectory-forecasting
MLA “How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/how-many-observations-are-enough-knowledge-distillation-for-trajectory-forecasting.
BibTeX @misc{4ortxyz_how-many-observations-are-enough-knowledge-distillation-for-trajectory-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/how-many-observations-are-enough-knowledge-distillation-for-trajectory-forecasting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting — https://4ort.xyz/entity/how-many-observations-are-enough-knowledge-distillation-for-trajectory-forecasting (retrieved 2026-05-24)

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