We propose a novel Swin Transformer block to optimize feature extraction and enable the model to handle remote sensing images of arbitrary sizes. Additionally, we design an Edge Spatial Attention ...

To achieve consistent improvement across different intensity echo areas, we propose the adaptive weight matrix network (AWMNet) with Swin-Transformer blocks for dynamic attention to patches with ...

U.S. Solid State Transformer Market Size & Share Analysis The U.S. solid state transformer market is on the brink of ...

It implements a dual normalization technique within each transformer block: applying QKV normalization within the attention mechanism while utilizing Post-Norm in the feed-forward network (FFN). This ...

The dataset includes fractured and non-fractured X-ray images covering all anatomical body regions, including the lower limb, upper limb, lumbar region, hips, knees, etc. The dataset is divided into ...

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