How Attention works in Deep Learning: understanding the attention mechanism in sequence models | AI Summer
Self-Attention In Computer Vision | by Branislav Holländer | Towards Data Science
Vision Transformer Explained | Papers With Code
Self-Attention for Vision
Attention? Attention! | Lil'Log
Why multi-head self attention works: math, intuitions and 10+1 hidden insights | AI Summer
Vision Transformers: Natural Language Processing (NLP) Increases Efficiency and Model Generality | by James Montantes | Becoming Human: Artificial Intelligence Magazine
Attention? Attention! | Lil'Log
Towards robust diagnosis of COVID-19 using vision self-attention transformer | Scientific Reports
Self-Attention In Computer Vision | by Branislav Holländer | Towards Data Science
An efficient self-attention network for skeleton-based action recognition | Scientific Reports
Self-Attention Modeling for Visual Recognition, by Han Hu - YouTube
Studying the Effects of Self-Attention for Medical Image Analysis | DeepAI
Self-Attention In Computer Vision | by Branislav Holländer | Towards Data Science
Researchers from Google Research and UC Berkeley Introduce BoTNet: A Simple Backbone Architecture that Implements Self-Attention Computer Vision Tasks - MarkTechPost
Frontiers | Parallel Spatial–Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI
self-attention in computer vision | LearnOpenCV
Vision Transformers - by Cameron R. Wolfe
Attention mechanisms and deep learning for machine vision: A survey of the state of the art
Convolution Block Attention Module (CBAM) | Paperspace Blog
Self-Attention In Computer Vision | by Branislav Holländer | Towards Data Science
The Transformer Model - MachineLearningMastery.com
Multi-head enhanced self-attention network for novelty detection - ScienceDirect