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ReViT: Enhancing Vision Transformers with Attention Residual Connections for Visual Recognition
Vision Transformer (ViT) self-attention mechanism is characterized by feature collapse in deeper layers, resulting in the vanishing of low-level visual features.
Ranked #491 on
Image Classification
on ImageNet
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