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  # Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection
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- This repository contains the dataset for **Continual-MEGA**, a new benchmark for continual learning in anomaly detection, introduced in the paper [Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection](https://huggingface.co/papers/2506.00956).
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  Continual-MEGA aims to better reflect real-world deployment scenarios. It features a large and diverse dataset that significantly expands existing evaluation settings by combining carefully curated existing datasets with the newly proposed **ContinualAD** dataset. The benchmark also proposes a novel scenario for measuring zero-shot generalization to unseen classes, particularly focusing on pixel-level defect localization.
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- For the associated evaluation code, checkpoint files, and further details, please refer to the GitHub repository: [https://github.com/Continual-Mega/Continual-Mega-Neurips2025](https://github.com/Continual-Mega/Continual-Mega-Neurips2025)
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  ## Dataset Structure
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  sh eval_zero.sh
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  ```
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- For detailed setup instructions, including downloading CLIP pretrained weights and specific checkpoint files, please visit the [official GitHub repository](https://github.com/Continual-Mega/Continual-Mega-Neurips2025).
 
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  # Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection
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+ This repository contains the dataset for **Continual-MEGA**, a new benchmark for continual learning in anomaly detection, introduced in the paper **Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection**.
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  Continual-MEGA aims to better reflect real-world deployment scenarios. It features a large and diverse dataset that significantly expands existing evaluation settings by combining carefully curated existing datasets with the newly proposed **ContinualAD** dataset. The benchmark also proposes a novel scenario for measuring zero-shot generalization to unseen classes, particularly focusing on pixel-level defect localization.
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+ For the associated evaluation code, checkpoint files, and further details, please refer to the GitHub repository: [https://github.com/Continual-Mega/Continual-MEGA-Baseline](https://github.com/Continual-Mega/Continual-MEGA-Baseline)
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  ## Dataset Structure
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  sh eval_zero.sh
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  ```
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+ For detailed setup instructions, including downloading CLIP pretrained weights and specific checkpoint files, please visit the [official GitHub repository](https://github.com/Continual-Mega/Continual-MEGA-Baseline).