Semi-supervised learning (SSL) methods provide a powerful tool for utilizing abundant unlabeled data to strengthen standard supervised learning. Traditional graph-based SSL prevail in classical problems their intuitional implementation and effective performance. However, they encounter troubles when applying image classification followed by modern deep learning, since the diffusion algorithms f...

In this paper, we study the efficiency of Graph Transformer Network for noisy label propagation in task classifying video anomaly actions. Given a weak supervised dataset, our methods focus on improving quality generated labels and use training classifier with deep network. From full-length video, properties each segmented can be decided through their relationship other video. Therefore, employ...