AIbase
EN
Model Selection
Tags
Self-supervised feature extraction

# Self-supervised feature extraction

Convnextv2 Tiny.fcmae
A self-supervised feature representation model based on ConvNeXt-V2, pre-trained using the Fully Convolutional Masked Autoencoder (FCMAE) framework, suitable for image feature extraction and fine-tuning tasks.
Image Classification Transformers
C
timm
2,463
1
Convnextv2 Femto.fcmae
A self-supervised feature representation model based on ConvNeXt-V2, pre-trained using the Fully Convolutional Masked Autoencoder (FCMAE) framework.
Image Classification Transformers
C
timm
166
0
Convnextv2 Base.fcmae
A self-supervised feature representation model based on ConvNeXt-V2, pre-trained using the Fully Convolutional Masked Autoencoder (FCMAE) framework
Image Classification Transformers
C
timm
629
1
Convnextv2 Atto.fcmae
A self-supervised feature representation model based on ConvNeXt-V2, pre-trained using the Fully Convolutional Masked Autoencoder (FCMAE) framework, suitable for image classification and feature extraction tasks.
Image Classification Transformers
C
timm
485
0
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase