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Dissecting Representation Structure in Vision Transformers: A Rigorous Architectural Study

Nguyen, Kim-Cuc et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Representation structure is crucial for understanding Vision Transformer (ViT) architectures and their generalization behavior. However, prior studies neither isolate nor analyze module-level features nor investigate how their interactions contribute to performance estimation. In this work, we condu
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