This AI Paper from Apple Introduces a Weakly-Supervised Pre-Training Method for Vision Models Using Publicly Available Web-Scale Image-Text Data

In recent times, contrastive learning has become a potent strategy for training models to learn efficient visual representations by aligning image and text embeddings. However, one of the difficulties with contrastive learning is the computation needed for pairwise similarity between image and text pairs, especially when working with large-scale datasets. In recent research, a team […]

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