GitHub

CASIA-IVA-Lab/GLOBER

We follow the implementation of StyleGAN-V(https://github.com/universome/stylegan-v) for evaluation. # AutoEncoder bash scripts/script_for_sample_3c.sh $CUR $CUDA ...
IEEE

A One-Shot Learning Approach for Fault Classification of Bearings via Multi-Autoencoder Reconstruction

Abstract: In industrial scenarios, the scarcity of labeled data for fault diagnosis of rotating machinery poses a significant challenge to the development of reliable data-driven models. This paper ...
IEEE

Spatial–Spectral Hierarchical Multiscale Transformer-Based Masked Autoencoder for Hyperspectral Image Classification

Abstract: Due to the excellent feature extraction capabilities, deep learning has become the mainstream method for hyperspectral image (HSI) classification. Transformer, with its powerful long-range ...
GitHub

Diffusion Transformers with Representation Autoencoders (RAE)

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...