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Register-enhanced ViT

# Register-enhanced ViT

Dinov2 With Registers Base Imagenet1k 1 Layer
Apache-2.0
A vision transformer model based on the Transformer architecture, trained using the DINOv2 method and introducing a register mechanism to solve the artifact problem of traditional ViT models.
Image Classification Transformers
D
facebook
693
2
Dinov2 With Registers Small Imagenet1k 1 Layer
Apache-2.0
A vision Transformer model trained with DINOv2, improved by adding register tokens to enhance attention mechanism, eliminate artifacts, and boost performance
Image Classification Transformers
D
facebook
445
2
Vit Small Patch14 Reg4 Dinov2.lvd142m
Apache-2.0
A visual Transformer (ViT) image feature model with registers, pre-trained using the self-supervised DINOv2 method on the LVD-142M dataset.
Image Classification Transformers
V
timm
15.98k
5
Vit Large Patch14 Reg4 Dinov2.lvd142m
Apache-2.0
A Vision Transformer (ViT) image feature model with registers, pre-trained using self-supervised DINOv2 method on the LVD-142M dataset.
Image Classification Transformers
V
timm
119.48k
7
Vit Giant Patch14 Reg4 Dinov2.lvd142m
Apache-2.0
A vision Transformer (ViT) image feature model with registers, pretrained using the self-supervised DINOv2 method on the LVD-142M dataset.
Image Classification Transformers
V
timm
917
1
Vit Base Patch14 Reg4 Dinov2.lvd142m
Apache-2.0
A visual transformer (ViT) image feature model with registers, pre-trained using the self-supervised DINOv2 method on the LVD-142M dataset.
Image Classification Transformers
V
timm
40.95k
10

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