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A Survey of Attention Mechanism and Using Self-Attention Model for Computer Vision | by Swati Narkhede | The Startup | Medium
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New Study Suggests Self-Attention Layers Could Replace Convolutional Layers on Vision Tasks | Synced
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Vision Transformers: Natural Language Processing (NLP) Increases Efficiency and Model Generality | by James Montantes | Becoming Human: Artificial Intelligence Magazine
AK on Twitter: "Attention Mechanisms in Computer Vision: A Survey abs: https://t.co/ZLUe3ooPTG github: https://t.co/ciU6IAumqq https://t.co/ZMFHtnqkrF" / Twitter
![Chaitanya K. Joshi on Twitter: "Exciting paper by Martin Jaggi's team (EPFL) on Self-attention/Transformers applied to Computer Vision: "A self- attention layer can perform convolution and often learns to do so in practice." Chaitanya K. Joshi on Twitter: "Exciting paper by Martin Jaggi's team (EPFL) on Self-attention/Transformers applied to Computer Vision: "A self- attention layer can perform convolution and often learns to do so in practice."](https://pbs.twimg.com/media/EKRtjJ9U8AAyOz3.jpg:large)
Chaitanya K. Joshi on Twitter: "Exciting paper by Martin Jaggi's team (EPFL) on Self-attention/Transformers applied to Computer Vision: "A self- attention layer can perform convolution and often learns to do so in practice."
![Spatial self-attention network with self-attention distillation for fine-grained image recognition - ScienceDirect Spatial self-attention network with self-attention distillation for fine-grained image recognition - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S104732032100242X-gr3.jpg)
Spatial self-attention network with self-attention distillation for fine-grained image recognition - ScienceDirect
![How Attention works in Deep Learning: understanding the attention mechanism in sequence models | AI Summer How Attention works in Deep Learning: understanding the attention mechanism in sequence models | AI Summer](https://theaisummer.com/static/e9145585ddeed479c482761fe069518d/ee604/attention.png)