Overview
Explore instance segmentation techniques in computer vision through this comprehensive 43-minute lecture from the University of Central Florida's CAP5415 course. Delve into key concepts such as semantic segmentation, ROI pooling, and mask structures. Learn about the differences between semantic and instance segmentation, understand the importance of ROI alignment and target resolution, and examine practical examples of mask implementation. Gain insights into bilinear interpolation and its role in image processing. Engage with thought-provoking questions and participate in tagging exercises to reinforce your understanding of these advanced computer vision topics.
Syllabus
Intro
Example
Semantic Segmentation
Semantic Segmentation Branch
ROI Pooling
ROI Cooling
ROI Align
Target Resolution
Bilinear Interpolation
ROIPooling
Mask Structure
Mask Examples
Questions
Tagging
Taught by
UCF CRCV