Pretext task learningMulti-view contrastive learningAction recognitionSelf-supervised video representation learning attempts to extract latent spatiotemporal semantic information from unlabeled data that will be
SSL is particularly popular in the computer vision and natural language-processing fields. Research has demonstrated that self-supervised representations can compete with their supervised counterparts. In SSL, a feature extractor completes a pre- text task on an unlabeled dataset. This extractor then ...
SSL is particularly popular in the computer vision and natural language-processing fields. Research has demonstrated that self-supervised representations can compete with their supervised counterparts. In SSL, a feature extractor completes a pretext task on an unlabeled dataset. This extractor then ...
SSL is particularly popular in the computer vision and natural language-processing fields. Research has demonstrated that self-supervised representations can compete with their supervised counterparts. In SSL, a feature extractor completes a pretext task on an unlabeled dataset. This extractor then ...