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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3226029
Abstract: Automatic pseudo-labeling is a powerful tool to tap into large amounts of sequential unlabeled data. It is especially appealing in safety-critical applications of autonomous driving, where performance requirements are extreme, datasets are large, and manual…
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Keywords:
sequential data;
pseudo labeling;
teachers concordance;
concordance pseudo ... See more keywords