Deep Learning, Artificial Intelligence, Vision Language Model, Bert, Contrastive Learning.
representation (y=1) or any polluted ones (y=0). The contrastive loss is defined as: The full pre-training objective of OSCAR is: where each loss provides a representative learning signal from its own perspective. 1.5. Datasets The pre-training corpus is based on the existing V+L datasets,