A research-grade alternative to proprietary computer vision models for object segmentation. It implements a memory-based architecture to maintain mask consistency across long video sequences.
Tech Stack
PythonAI, ML & Data
Why Cutie?
• State-of-the-art CVPR performance
• Handles long-term occlusions
• Efficient memory utilization
Limitations
• Requires high-end GPU
• Complex environment setup
• Steep learning curve
3/5/2026
Last Update
100
Forks
10
Issues
MIT
License
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Competitor Cost
-$1,440
/ year (est. based on Meta SAM (Segment Anything))
