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Understanding Autonomous Driving Datasets by Describing Differences between Image Subsets in Natural Language

Truetsch, Julian et al.
arXiv (All) · Papers
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computation-and-languagecomputer-vision-and-pattern-recognitionmachine-learningneural-and-evolutionary-computingrobotics
Understanding the composition of large-scale autonomous driving datasets is essential for safety, robustness, and reliable operation across domains. For example, domain shift between locations could lead to the operating environment being misaligned with the training data, resulting in potentially d
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