demonstrate how they can be composed to yield flexible and performant transformer \ layers with improved user experience. One may observe that the ``torch.nn`` module currently provides various ...
Transformers are a type of neural network architecture that has revolutionized natural language processing (NLP). Unlike traditional recurrent neural networks (RNNs) and long short-term memory ...
To address this challenge, this study utilizes Swin Transformer (SwinT) as baseline and incorporates the Convolutional Block Attention Module (CBAM) for enhancement. Our proposed method integrates ...
Specifically, we construct a network encoder module that fuses two residual swim transformer blocks and a downsampling layer. It obtains more low-frequency information from ultrasound images by ...