Semi-Supervised Video Classification
3 papers with code • 0 benchmarks • 1 datasets
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In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
The recent research in semi-supervised learning (SSL) is mostly dominated by consistency regularization based methods which achieve strong performance.
The detection of abnormal events in surveillance footage remains a challenge and has been the scope of various research works.
Our method hinges on unsupervised representation learning, which, for temporal action segmentation, poses unique challenges.