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16 April 2024: Chen Yang
- Hot off the press: the second Annolid paper (arXiv preprint), focusing on Annolid's new zero-annotation automatic tracking capabilities.
- Chen will present the newest developments in the the Annolid software package for deep learning-based behavior analysis using instance segmentation. There are substantial new advances to present, based on new instance segmentation models including Cutie VOS (visual object segmentation) and Meta's Segment Anything that are used for easier object identification and automatic tracking. Come with your ideas, questions, and research needs.
- There is no reading, but you You also can look at our lab's two Annolid-related posters from SFN 2024 for an introduction: Chen Yang et al., Ray Fang et al.
- There are also several Annolid videos posted on Youtube; our MATB playlist is at https://cplab.science/matb.
23 April 2024:
7 May 2024:
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