Uses a "permanent memory" feature (based on XMem++) that helps the AI remember an object's appearance throughout the entire video.
Improved consistency compared to previous models, making it suitable for complex, long-term video data. Cutie (1).mp4
Cutie is engineered for developers and researchers who need "identity-stable" tracking, meaning the software won't lose track of which object is which, even if they cross paths or go behind something else. Uses a "permanent memory" feature (based on XMem++)
Reducing manual review time for large datasets (e.g., 160+ hours of video) by 99%. 💻 Technical Implementation making it suitable for complex
Monitoring social interactions (like voles) to ensure identities aren't swapped during huddles.