Advanced Computer Vision
( 24 Modules )

Module #1
Introduction to Advanced Computer Vision
Overview of the course, importance of computer vision, and advanced concepts

Module #2
Deep Learning Fundamentals for Computer Vision
Review of deep learning concepts and techniques relevant to computer vision

Module #3
Convolutional Neural Networks (CNNs) for Image Classification
In-depth exploration of CNNs, including architecture, layers, and training

Module #4
Object Detection using YOLO and SSD
Real-time object detection using YOLO and SSD architectures

Module #5
Image Segmentation using FCN and U-Net
Semantic segmentation using fully convolutional networks (FCN) and U-Net

Module #6
Image Generation using GANs and VAEs
Introduction to generative models, including GANs and VAEs, for image generation

Module #7
Image Processing Techniques for Computer Vision
Advanced image processing techniques, including filtering, transforms, and feature extraction

Module #8
3D Computer Vision and Structure from Motion
Introduction to 3D computer vision, including structure from motion and stereo vision

Module #9
Optical Flow and Scene Understanding
Estimating motion and understanding scene dynamics using optical flow

Module #10
Advanced Object Detection Architectures
Exploring advanced object detection architectures, including RetinaNet and EfficientDet

Module #11
Instance Segmentation and Panoptic Segmentation
Instance segmentation and panoptic segmentation using Mask R-CNN and other approaches

Module #12
Image-to-Image Translation using CycleGAN and UNIT
Image-to-image translation using CycleGAN and UNIT architectures

Module #13
Video Analysis and Understanding
Analyzing and understanding video content using computer vision techniques

Module #14
Action Recognition and Activity Analysis
Recognizing and analyzing human actions and activities in videos

Module #15
Object Tracking and Motion Forecasting
Tracking objects and forecasting motion in videos

Module #16
Scene Understanding and Layout Estimation
Understanding scene layout and 3D structure from 2D images

Module #17
Facial Recognition and Emotion Analysis
Recognizing faces and analyzing emotions using computer vision techniques

Module #18
Human-Computer Interaction and Gesture Recognition
Recognizing and understanding human gestures and interactions

Module #19
Computer Vision for Robotics and Autonomous Systems
Applying computer vision to robotics and autonomous systems

Module #20
Visual Question Answering and Visual Dialog
Answering questions and engaging in dialog about visual content

Module #21
Computer Vision for Healthcare and Medical Imaging
Applying computer vision to healthcare and medical imaging applications

Module #22
Adversarial Attacks and Defense in Computer Vision
Understanding and defending against adversarial attacks on computer vision systems

Module #23
Explainability and Interpretability in Computer Vision
Explaining and interpreting the decisions made by computer vision models

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Advanced Computer Vision career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Advanced Computer Vision ( 24 Modules )

Advanced Computer Vision
( 24 Modules )