In two encoder branches of the model, a new transformer encoder is used to overcome the ... the perceptual field and retain more contextual information of the shallow layer in decoder. To the best of ...

This is a Pytorch implementation of Reformer https://openreview.net/pdf?id=rkgNKkHtvB It includes LSH attention, reversible network, and chunking. It has been ...

So image features become ‘visual tokens’ for the decoder. This could be a single layer ... up using pytorch. That includes the attention mechanism (both for the vision encoder and language decoder), ...

The layers in the CNN apply a convolution operation to the input, passing the result to the next layer ... transformer-based models. Attention mechanisms, especially in transformer models, have ...

FNet is a layer normalized ResNet architecture with multiple layers, each of which consists of a Fourier mixing sublayer followed by a feedforward sublayer. The team replaces the self-attention ...