Will Transformers Replace CNNs in Computer Vision?


This article is about most probably the next generation of neural networks for all computer vision applications: The transformer architecture. You've certainly already heard about this architecture in the field of natural language processing, or NLP, mainly with GPT3 that made a lot of noise in 2020. Transformers can be used as a general-purpose backbone for many different applications and not only NLP. In a couple of minutes, you will know how the transformer architecture can be applied to computer vision with a new paper called the Swin Transformer by Ze Lio et al. from Microsoft Research [1]. This article may be less flashy than usual as it doesn't really show the actual results of a precise application.

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