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Each of the transformer backbone models was developed to process single-channel grayscale mammograms while still taking advantage of transfer learning from pre-training on ImageNet so that the...
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(ViT) architectures underexplored. This work proposes ViT-FIQA, a novel approach that extends standard ViT backbones, originally optimized for FR, through a learnable quality token designed to pre...
and opacities are optimized jointly with a ViT classifier trained on top of these representations. We reuse the classifier gradients as constructive guidance, steering the Gaussians toward class-salient...
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backbone. To avoid the distraction problem due to the global attention mechanism of ViT architectures, ProtoPFormer uses a hybrid approach with global and local prototypes. The local prototypes ar...
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这样做的特点是,在VLM中的图片,视频预处理,以及VIT的特征抽取部分,不会打断LLM的生成,也可以... MoE的top-p routing 对MoE模型的一些观察 从dense到MoE -- sparse upcycling MoE路由--exp… L...
