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Temporal Action Detection with Multi-level Supervision
Training temporal action detection in videos requires large amounts of l...
11/24/2020 ∙ by Baifeng Shi, et al. ∙
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Auxiliary Task Reweighting for Minimum-data Learning
Supervised learning requires a large amount of training data, limiting i...
10/16/2020 ∙ by Baifeng Shi, et al. ∙
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Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Convolutional Neural Networks (CNNs) are known to rely more on local tex...
08/10/2020 ∙ by Baifeng Shi, et al. ∙
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Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
Weakly-supervised action localization problem requires training a model ...
03/31/2020 ∙ by Zhekun Luo, et al. ∙
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Weakly-Supervised Action Localization by Generative Attention Modeling
Weakly-supervised temporal action localization is a problem of learning ...
03/27/2020 ∙ by Baifeng Shi, et al. ∙
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