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This repository contains an implementation of autoencoders for generating images. The code is based on the tutorial provided by AI Summer and demonstrates how to build and ...

Autoencoders are a type of neural network used for unsupervised learning. They learn to reconstruct input data by encoding it into a lower-dimensional latent space and then decoding it back to the ...
GitHub

Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification

Recently, masked autoencoders (MAEs) have displayed great potential in many visual tasks. However, in medical image classification tasks, most human tissue structures are highly similar, and ...