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Microsoft’s FocalNets Replace ViTs’ Self-Attention With Focal Modulation to Improve Visual Modelling
March 25, 2022, 1:51 p.m. | Synced
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A Microsoft Research team proposes FocalNet (Focal Modulation Network), a simple and attention-free architecture designed to replace transformers’ self-attention module. FocalNets exhibit significant superiority over self-attention for effective and efficient visual modelling in real-world applications.
The post Microsoft’s FocalNets Replace ViTs’ Self-Attention With Focal Modulation to Improve Visual Modelling first appeared on Synced.
ai artificial intelligence attention machine learning machine learning & data science microsoft ml modelling research self-attention technology vision-transformer
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