Transformers in computer vision: ViT architectures, tips, tricks and improvements | AI Summer
Attention? Attention! | Lil'Log
Researchers from Google Research and UC Berkeley Introduce BoTNet: A Simple Backbone Architecture that Implements Self-Attention Computer Vision Tasks - MarkTechPost
Transformer's Self-Attention Mechanism Simplified
Self-Attention Modeling for Visual Recognition, by Han Hu - YouTube
Attention Mechanism In Deep Learning | Attention Model Keras
Vision Transformers: Natural Language Processing (NLP) Increases Efficiency and Model Generality | by James Montantes | Becoming Human: Artificial Intelligence Magazine
Stand-Alone Self-Attention in Vision Models
Attention mechanisms and deep learning for machine vision: A survey of the state of the art
A Survey of Attention Mechanism and Using Self-Attention Model for Computer Vision | by Swati Narkhede | The Startup | Medium
Attention mechanisms in computer vision: A survey
New Study Suggests Self-Attention Layers Could Replace Convolutional Layers on Vision Tasks | Synced
Self-Attention In Computer Vision | by Branislav Holländer | Towards Data Science
Attention? Attention! | Lil'Log
How Attention works in Deep Learning: understanding the attention mechanism in sequence models | AI Summer
Frontiers | Parallel Spatial–Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI
Vision Transformers - by Cameron R. Wolfe
Rethinking Attention with Performers – Google AI Blog
Vision Transformer Explained | Papers With Code
Spatial self-attention network with self-attention distillation for fine-grained image recognition - ScienceDirect
Self-Attention for Vision
Transformer: A Novel Neural Network Architecture for Language Understanding – Google AI Blog
