Yongsheng Zhang

MEJIGCLU: More Effective Jigsaw Clustering For Unsupervised Visual Representation Learning

Unsupervised visual representation learning aims to learn general features from unlabelled data. Early methods design intra-image pretext tasks as learning targets and can be achieved with low computational overhead but unsatisfactory performance. Recent methods introduce contrastive learning and ac…