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license: cc-by-nc-4.0
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---
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license: cc-by-nc-4.0
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datasets:
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- Continual-Mega/Continual-Mega-Neurips2025
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tags:
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- pytorch_model_hub_mixin
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---
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# π§ Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection
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This repository provides model checkpoints for **Continual-MEGA**, a benchmark introduced in the paper:
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[](https://arxiv.org/abs/2506.00956)
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π **Codebase**: [Continual-Mega/Continual-Mega](https://github.com/Continual-Mega/Continual-Mega)
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---
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## π Overview
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Continual-MEGA introduces a realistic and large-scale benchmark for **continual anomaly detection** that emphasizes generalizability across domains and tasks.
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The benchmark features:
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- β
Diverse anomaly types across domains
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- π Class-incremental continual learning setup
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- π A large-scale evaluation protocol surpassing previous benchmarks
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This repository hosts pretrained **model checkpoints** used in various scenarios defined in the benchmark.
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---
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## π¦ Available Checkpoints
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| Model Name | Scenario | Description |
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|------------------|------------|--------------------------------------------------|
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| `model_sc2_base` | Scenario 2 | Trained on Sceanrio 2 base classes |
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| *(More to come)* | β | β |
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---
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