Teachers in Concordance for Pseudo-Labeling of 3D Sequential Data
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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… read more here.
Keywords: sequential data; pseudo labeling; teachers concordance; concordance pseudo ... See more keywords