EfficientDet - Scalable and Efficient Object Detection
Offered By: Code With Aarohi via YouTube
Course Description
Overview
Explore the innovative EfficientDet architecture for scalable and efficient object detection in this 30-minute video tutorial. Learn how EfficientDet differs from other object detection models, leveraging the EfficientNet backbone and introducing novel concepts like BiFPN (weighted bidirectional feature network) and compound scaling. Discover the three main components of object detectors: backbone, feature network, and class/box network. Understand the importance of Feature Pyramid Networks (FPN) in multi-scale feature fusion and how EfficientDet improves upon this concept. Delve into the architecture's uniform scaling of resolution, depth, and width, and its superior performance on both GPU and CPU compared to other detectors. Gain insights into model scaling, compound scaling formulas, and performance comparisons to enhance your understanding of this cutting-edge object detection technique.
Syllabus
Introduction
Object Detection
Efficiency
Normal FPS
EfficientDet Solution
Model scaling
Compound scaling formula
Scaling chart
Scaling formulas
Performance comparison
Taught by
Code With Aarohi
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent