Table of Contents DETR Breakdown Part 3: Architecture and Details DETR Architecture 🏗️ CNN Backbone 🦴 Transformer Preprocessing ⚙️ Transformer Encoder 🔄 Transformer Decoder 🔄 Prediction Heads: Feed-Forward Network ➡️🧠 Importance of DETR 🌟 🔁 End-to-End Trainability ⏩ Parallel Decoding…

Table of Contents DETR Breakdown Part 2: Methodologies and Algorithms The DETR Model 👁️ Object Detection Set Prediction Loss 📉 Optimal Bipartite Matching 🔄 Optimal Bipartite Matching for Objects 🌐 Optimize Object Specific Losses 🔧 Quiz Time! 🤓 Summary Citation…

Table of Contents DETR Breakdown Part 1: Introduction to DEtection TRansformers Why DETR and What’s So Special? 🤔 What Is Object Detection? 😯 So What’s New in DETR? 🎁 Life Is Not a Bed of Roses 🌹: Past Challenges The…

Table of Contents Train a MaskFormer Segmentation Model with Hugging Face 🤗 Transformers Project Structure Requirements Bonus An Introduction to Image Segmentation What Is MaskFormer? 🤗Transformers Ecosystem How to Train an Instance Segmentation Model with MaskFormer? Setup Loading the Dataset…

Table of Contents A Deep Dive into Transformers with TensorFlow and Keras: Part 3 Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Config Dataset Attention Utility Functions Positional Encoding Feed Forward Rate Schedule Loss Accuracy…