A fault detection method for power conversion circuits using thermal images and a convolutional autoencoder is presented. The autoencoder is trained on thermal images captured from a commercial power ...
Bottleneck Layer,Convolutional Autoencoder,Convolutional Encoder,Convolutional Layers,Convolutional Neural Network,Depigmentation,Face Images,Feature Compression ...
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 ...
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