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Masked Image Modeling

# Masked Image Modeling

Vitreg4 B16 Mim
Apache-2.0
ViT reg4 image encoder pretrained with Masked Image Modeling (MIM), suitable for general feature extraction or downstream vision tasks
Image Classification
V
birder-project
69
0
Eva02 Small Patch14 224.mim In22k
MIT
EVA02 feature/representation model, pretrained on ImageNet-22k via masked image modeling, suitable for image classification and feature extraction tasks.
Image Classification Transformers
E
timm
705
0
Eva02 Large Patch14 224.mim M38m
MIT
EVA02 feature/representation model, pretrained on Merged-38M dataset via masked image modeling, suitable for image classification and feature extraction tasks.
Image Classification Transformers
E
timm
571
0
Eva02 Base Patch14 224.mim In22k
MIT
EVA02 base version visual representation model, pre-trained on ImageNet-22k through masked image modeling, suitable for image classification and feature extraction tasks.
Image Classification Transformers
E
timm
2,834
6
Beit Large Patch16 224 Pt22k
Apache-2.0
BEiT is a self-supervised learning model based on Vision Transformer (ViT), pretrained on the ImageNet-21k dataset for image classification tasks.
Image Classification
B
microsoft
237
2
Beit Large Patch16 224 Pt22k Ft22k
Apache-2.0
BEiT is a Vision Transformer (ViT)-based image classification model, pre-trained in a self-supervised manner on ImageNet-22k and fine-tuned on the same dataset.
Image Classification
B
microsoft
1,880
5
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