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I want to implement a new anomaly detection model - GLASS based on this paper. This model combines the use global and local anomaly synthesis to improve accuracy.
Acceptance Criteria
- The new algorithm is implemented and integrated into the anomalib framework
- Unit tests are written and pass for the new implementation
- Performance benchmarks show improvement over existing methods on specified datasets
- Documentation is updated to include usage instructions and theory behind the new algorithm
- An example notebook is provided demonstrating the algorithm's application
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Category
Anomaly Detection Algorithms
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