BriefGPT.xyz
May, 2021
卷积神经网络或Transformer模型更像人类视觉?
Are Convolutional Neural Networks or Transformers more like human vision?
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Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
TL;DR
比较了卷积神经网络和注意力网络的性能差异,使用新的指标展示了注意力网络的错误更贴近于人类,这些结果对于构建更人类化的视觉模型以及理解视觉对象识别在人类中的意义具有意义。
Abstract
Modern
machine learning
models for
computer vision
exceed humans in accuracy on specific visual recognition tasks, notably on datasets like ImageNet. However, high accuracy can be achieved in many ways. The parti
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