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FrameScope: Temporal Data Valuation for Stream Active Learning in Autonomous Vehicle Systems

Zhu, Yuheng et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Autonomous vehicles operate in dynamic, ever-changing environments where new scenarios and edge cases constantly emerge. As a result, static learning models are inadequate for ensuring safe and reliable operation. Continuous learning is essential for adapting to these evolving conditions and maintai
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