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1
Intro
2
Example
3
Semantic Segmentation
4
Semantic Segmentation Branch
5
ROI Pooling
6
ROI Cooling
7
ROI Align
8
Target Resolution
9
Bilinear Interpolation
10
ROIPooling
11
Mask Structure
12
Mask Examples
13
Questions
14
Tagging
Description:
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.

Instance Segmentation - Lecture 17

University of Central Florida
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