cs-giung/convnext-v2-large-imagenet1k-fcmae

ConvNext-V2

ConvNext-V2 model pre-trained on ImageNet-1k (1.28 million images, 1,000 classes) at resolution 224x224 in a fully convolutional masked autoencoder framework (FCMAE). It was introduced in the paper ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. The weights were converted from the convnextv2_large_1k_224_fcmae.pt file presented in the official repository.