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When the Score Becomes the Target: Rethinking Metric Validity in Autonomous Driving

Zhu, Morui et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionrobotics
Driving benchmark scores are increasingly used not only for evaluation but also as optimization targets. This raises a fundamental question: do score gains remain reliable evidence of driving improvement once the score itself is optimized? We address this question by examining how the scoring proces
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