arXiv cs.CV
· Papers
Self-Supervised Visual Representation Learning: Pretrain-Finetuning or Joint Training?
arXiv:2607.13192v1 Announce Type: new Abstract: Self-supervision is a powerful technique for learning visual representations from unlabeled data. Existing techniques primarily adopt a two-stage approach for self-supervised learning (SSL): a pretraining stage on unlabeled data followed by a finetuning stage on labeled d