Ching-Long Lin

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning

In self-supervised contrastive learning, negative pairs are typically constructed using an anchor image and a sample drawn from the entire dataset, excluding the anchor. However, this approach can result in the creation of negative pairs with similar semantics, referred to as "false negatives", lead…