Temporally Consistent Spatial Augmentation

Temporally Consistent Spatial Augmentation: A Technique for Enhancing Contrastive Learning Video data is an integral part of many machine learning algorithms, and it is important to use techniques that can help models learn from this data efficiently. One technique that has gained prominence in recent years is contrastive learning. Contrastive Video Representation Learning (CVRL) is a framework that uses contrastive learning to learn representations from video data. CVRL involves comparing vide