Abstract: With the rapid advancement of information technology, image dehazing technology has become increasingly important in many fields. In recent years, a multitude of new image dehazing methods ...

Abstract: Since labeled samples are typically scarce in real-world scenarios, self-supervised representation learning in time series is critical. Existing approaches mainly employ the contrastive ...