Focal Transformer: Focal Self-attention for Local-Global Interactions in Vision Transformers

When Vision Transformers Outperform ResNets without Pretraining | Paper Explained

Graphormer - Do Transformers Really Perform Bad for Graph Representation? | Paper Explained

Swin Transformer paper animated and explained

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (paper illustrated)

Vision Transformer Quick Guide - Theory and Code in (almost) 15 min

DINO: Emerging Properties in Self-Supervised Vision Transformers | Paper Explained!

Do Vision Transformers See Like Convolutional Neural Networks? | Paper Explained

DALL-E: Zero-Shot Text-to-Image Generation | Paper Explained

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)

Facebook AI's DINO | PyTorch Code Explained

DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

Python Machine Learning Tutorial (Data Science)

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training

What are Transformer Models and how do they work?

Vision Transformer (ViT) - An image is worth 16x16 words | Paper Explained

ConvNeXt: A ConvNet for the 2020s | Paper Explained

Perceiver: General Perception with Iterative Attention (Google DeepMind Research Paper Explained)

Vision Transformer for Image Classification

DETR: End-to-End Object Detection with Transformers (Paper Explained)

Transformers in Vision: From Zero to Hero