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 ...
Abstract: This paper features a power-efficient Viterbi decoder targeted for energy-efficient digital communication systems such as mobile and edge applications. An attempt has been made at a ...
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