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.
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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