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Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction

Offered By: University of Central Florida via YouTube

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Computer Vision Courses Artificial Intelligence Courses Data Analysis Courses Machine Learning Courses Unsupervised Learning Courses Neural Networks Courses

Course Description

Overview

Explore an innovative approach to unsupervised keypoint learning for guiding class-conditional video prediction in this 29-minute lecture from the University of Central Florida. Delve into the problem, motivation, and previous solutions before examining the proposed method, dataset, and conclusions. Gain insights into cutting-edge techniques for improving video prediction accuracy and efficiency through unsupervised learning of key points.

Syllabus

Intro
Contents
Problem
Motivation : Previous Solutions
Overview
Proposed Method
Dataset
Conclusions


Taught by

UCF CRCV

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