Pre-training vision models for the classification of alerts from wide-field time-domain surveys

This article likely discusses the application of pre-trained vision models to classify alerts generated by astronomical surveys that observe the sky over time. The focus is on improving the efficiency and accuracy of identifying transient astronomical events. The use of pre-training suggests leveraging existing knowledge from large datasets to enhance performance on this specific task.