Abstract: Since the invention of Transformers, attention-based models have been widely ... of active activations and enable sparse matrix multiplications in following FFN layers. To address the ...

The decoder takes in the encoder output, including distinct low and high-frequency skip connections and reconstructs the Region of Interest (RoI) with accurate boundaries. Spatial attention layers for ...

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The XREPORT Deep Learning (DL) model developed for this scope makes use of a transformer encoder-decoder architecture ... are extracted using a custom convolutional encoder with pooling layers to ...