What Do I Annotate Next? An Empirical Study of Active Learning for Action Localization
ECCV, pp. 212-229, 2018.
We introduced a novel active learning framework for temporal action localization
Despite tremendous progress achieved in temporal action localization, state-of-the-art methods still struggle to train accurate models when annotated data is scarce. In this paper, we introduce a novel active learning framework for temporal localization that aims to mitigate this data dependency issue. We equip our framework with active s...More
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