Growing to See: Efficient Pretraining of Self-Supervised Vision Transformers.

arXiv:2610.16817v1 Announce Type: cross Abstract: Progressive depth growth builds large networks by starting with shallow models and inserting layers during training. Recent advances in large language models have renewed interest in this longstanding approach,