Paper Summary: Masked Autoencoders Are Scalable Vision Learners

I have just published a new article in the medium that is associated with computer vision. It is a considerable attempt to reduce computational costs and consequently time consumption. In this research, random patches of the image were removed to make training simpler with efficiency which makes it scaleable in computer vision. It includes an asymmetric encoder-decoder architecture (Also, I have added Python code for both main subsets of architecture (encoder and decoder)). This pre-training model is really practical in …

deeplearning summary vision