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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.
Zero-shot learning can now predict traffic accidents in real-time without the need for costly annotated datasets, achieving competitive results in a major competition.
