Multi-Agent Behavior Challenge | CVPR 2021
By
vrv
💡 Our friends at Northwestern & Caltech are working to solve an important problem in neuroscience.
How to understand the structure of behavior, its control by the brain, and its dependence on context, experience, and more? 🧠
But, the researchers who are studying behavior (our friends) actually end up spending countless hours just painstakingly annotating videos of animals and their actions - losing important time that they can dedicate to doing more research. 😔
Which led us to host an interesting...and lucrative challenge on AIcrowd! ✨
Can we use machine learning to defeat this 'Annotation bottleneck' for researchers?
🎯 There are 3 goals for this challenge
- To develop methods to classify human-defined behaviors from tracked pose trajectories in a large dataset of videos of socially interacting mice
- To fine-tune classifications to different annotator styles
- To learn to recognize new behaviors of interest from limited training examples.
💰 These tasks have a total prize pool of $9,000!
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Task 1 |
$3,000 |
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Task 2 |
$3,000 |
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Task 3 |
$3,000 |
And..not only that, eligible winners will also be invited to speak at the Multi-Agent Behaviour Workshop at CVPR2021! 🎤
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