Attention and Transformers Networks in Computer Vision Lecture
Our dream to make machines sense and perceive (notably see) comes true: nowadays Computer Vision enables diverse applications:
-Autonomous Systems (cars, drones, vessels) Perception,
-Robotics Perception and Control,
-Intelligent Human-Machine Interaction,
-Anthropocentric (human-centered) Computing,
-Smart Cities/Buildings and Assisted living.
Computer Vision, coupled with AI (notably Machine Learning and Deep Neural Network) advances hit the news almost every day.
Short Summary
This lecture showcases the limitations of CNNs in computer vision and explores various transformer-based approaches that have emerged as powerful alternatives in the field, revolutionizing the way visual information is processed and understood.
Pace
Self-paced
Language
English
Country
Greece
Credits
No
Business Categories
Public Services
Last updated
Tue, 11/21/2023 - 10:08