Object-Centric Learning with Slot Attention
Offered By: Yannic Kilcher via YouTube
Course Description
Overview
Explore a comprehensive video explanation of the paper "Object-Centric Learning with Slot Attention" in this 43-minute tutorial. Delve into the innovative Slot Attention module, which enables object-centric representation learning from complex visual scenes. Understand the problem formulation, architecture, and algorithm behind Slot Attention. Visualize the iterative routing process and examine experimental results. Learn about inference time flexibility and consider the broader impact of this approach. Gain insights into how this method combines attention mechanisms with dynamic routing to recognize permutation-invariant sets of objects from pixels in both supervised and unsupervised settings.
Syllabus
- Intro & Overview
- Problem Formulation
- Slot Attention Architecture
- Slot Attention Algorithm
- Iterative Routing Visualization
- Experiments
- Inference Time Flexibility
- Broader Impact Statement
- Conclusion & Comments
Taught by
Yannic Kilcher
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX