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Action Recognition Benchmarks: Insights and Limitations - Tal Hassner

Offered By: University of Central Florida via YouTube

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Computer Vision Courses Artificial Intelligence Courses Machine Learning Courses Image Processing Courses Pattern Recognition Courses Benchmarking Courses

Course Description

Overview

Explore the insights and challenges of action recognition benchmarks in this 32-minute lecture from the ICCV'13 THUMOS Challenge workshop. Delve into the significance of benchmarks, including national ones, and their implications for action recognition capabilities. Examine the developments in 2013, the core issues in the field, and the actual recognition process. Analyze results, considering factors such as class resolution, context, and ambiguity. Investigate the complexities of handling a hundred classes and learn valuable lessons from the field. Gain a comprehensive understanding of the problems faced in action recognition and the limitations of current benchmarking practices.

Syllabus

Intro
What are benchmarks
What are national benchmarks
What do national benchmarks tell us
What happened in 2013
What is the problem
Benchmarks
What about actual recognition
Results
Wiseman
Rust
Class Resolution
Context
Ambiguity
A Hundred Classes
Housing 101
Lessons Learned
Problems


Taught by

UCF CRCV

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