A visualization protocol based on unsupervised semantic segmentation reveals positional biases, scaling behaviors, and boundary artifacts across self-supervised vision transformer models.
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Unsupervised Semantic Segmentation Facilitates Model Understanding
A visualization protocol based on unsupervised semantic segmentation reveals positional biases, scaling behaviors, and boundary artifacts across self-supervised vision transformer models.