Deep Learning

Vision Transformers

Transformer models that process images as sequences of visual patches.

A vision transformer divides an image into fixed-size patches and converts each patch into an embedding. The resulting sequence is processed using self-attention in a way similar to tokens in a language model.

Vision transformers can learn long-range relationships between different parts of an image. They are used for classification, detection, segmentation and multimodal understanding.

Also in Deep Learning

CNN RNN LSTM Transformers Auto Encoders Deep RL

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