Vision Transformers in 2026: DINOv2 Self-Supervision & SigLIP Multimodal Backbones
An authoritative computer vision architecture guide. We examine DINOv2 self-supervised patch representations, SigLIP sigmoid loss for vision-language alignment, dense semantic segmentation, and replacing legacy CNN backbones.
9/2/202624 min read