Swin-Graft

Vision Transformers' data efficiency linked to pretraining coherence, not inherent bias

A new research paper challenges the common belief that Vision Transformers (ViTs) inherently require more labeled data than Convolutional Neural Networks (CNNs) for industrial dense prediction tasks. The study suggests …