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Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications
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Achieving a score of $2.68 \times 10^{-3}$ in a depth estimation challenge reveals the untapped potential of zero-shot learning in complex visual tasks.
Autonomous code generation combined with rigorous semantic review can drastically enhance scenario mining accuracy in complex driving environments.
