Chaitanya K. Joshi | @chaitjo@sigmoid.social 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
Self-Attention In Computer Vision | by Branislav Holländer | Towards Data Science
Stand-Alone Self-Attention in Vision Models | Papers With Code
Rethinking Attention with Performers – Google AI Blog
Self-Attention In Computer Vision | by Branislav Holländer | Towards Data Science
Towards robust diagnosis of COVID-19 using vision self-attention transformer | Scientific Reports
Why multi-head self attention works: math, intuitions and 10+1 hidden insights | AI Summer
Attention? Attention! | Lil'Log
Attention Mechanism
Attention mechanisms in computer vision: A survey | SpringerLink
Vision Transformers: Natural Language Processing (NLP) Increases Efficiency and Model Generality | by James Montantes | Becoming Human: Artificial Intelligence Magazine
Tsinghua & NKU's Visual Attention Network Combines the Advantages of Convolution and Self-Attention, Achieves SOTA Performance on CV Tasks | Synced
Attention Mechanisms in Computer Vision: A Survey综述详解_Orange_sparkle的博客-CSDN博客
Attention? Attention! | Lil'Log
An efficient self-attention network for skeleton-based action recognition | Scientific Reports
Multi-Head Attention Explained | Papers With Code
Attention gated networks: Learning to leverage salient regions in medical images - ScienceDirect
Using Selective Attention in Reinforcement Learning Agents – Google AI Blog
Attention in image classification - vision - PyTorch Forums
How Attention works in Deep Learning: understanding the attention mechanism in sequence models | AI Summer
Self-Attention Computer Vision - PyTorch Code - Analytics India Magazine
Attention Mechanism
Attention Mechanism In Deep Learning | Attention Model Keras
self-attention in computer vision | LearnOpenCV
Transformers in computer vision: ViT architectures, tips, tricks and improvements | AI Summer
Attention mechanisms and deep learning for machine vision: A survey of the state of the art
Vision Transformers (ViT) in Image Recognition: Full Guide - viso.ai
New Study Suggests Self-Attention Layers Could Replace Convolutional Layers on Vision Tasks | Synced
