Pixel Transformer: Challenging Locality Bias in Vision Models

The deep learning revolution in computer vision has shifted from manually crafted features to data-driven approaches, highlighting the potential of reducing feature biases. This paradigm shift aims to create more versatile systems that excel across various vision tasks. While the Transformer architecture has demonstrated effectiveness across different data modalities, it still retains some inductive biases. […]

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