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Dyna-DINO: Efficient ViT Distillation Via Adaptive Representation Anchoring

Zhang, Jiaqi et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Vision Foundation Models (VFMs) with Vision Transformer (ViT) backbones, such as DINOv2, have become essential for downstream tasks like object recognition and semantic segmentation. The immense computational requirements of backbones often necessitate distillation into smaller architectures for edg
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