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SLEAP: Data-specific network architecture design
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Classroom Contents
Decoding Animal Behavior Through Pose Tracking
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- 1 Intro
- 2 Behavior through the lens of neuroscience
- 3 Background: How do we track animals?
- 4 Deep learning for animal pose estimation: LEAP
- 5 SLEAP: Dealing with multiple instances (Top-down)
- 6 SLEAP: Dealing with multiple instances (Bottom-up)
- 7 General-purpose animal pose tracking
- 8 SLEAP: How do we adapt to different datasets?
- 9 SLEAP: Data-specific network architecture design
- 10 Unsupervised behavior recognition
- 11 Future directions
