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Original paper

Label Independent Memory for Semi-Supervised Few-shot Video Classification

Abstract
In this paper, we propose to leverage freely available unlabeled video data to facilitate few-shot video classification. In this semi-supervised few-shot video classification task, millions of unlabeled data are available for each episode during training. These videos can be extremely imbalanced, while they have profound visual and motion dynamics. To tackle the semi-supervised few-shot video classification problem, we make the following...
Paper Details
Title
Label Independent Memory for Semi-Supervised Few-shot Video Classification
Published Date
Jan 1, 2020
Pages
1 - 1
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