Deep learning techniques have greatly enhanced the performance of fire detection in
videos. However, video-based fire detection models heavily rely on labeled data, and the …

Semi-supervised learning (SSL) suffers from severe performance degradation when labeled
and unlabeled data come from inconsistent data distributions. However, there is still a lack of …

Semi-supervised learning suffers from the imbalance of labeled and unlabeled training data
in the video surveillance scenario. In this paper, we propose a new semi-supervised …

Semi-supervised learning (SSL) is a powerful paradigm for leveraging unlabeled data and
has been proven to be successful across various tasks. Conventional SSL studies typically …