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- license: cc-by-nc-4.0
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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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+ # 🧠 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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+ [![Paper](https://img.shields.io/badge/Paper-arXiv%3A2506.00956-b31b1b?logo=arxiv&style=flat-square)](https://arxiv.org/abs/2506.00956)
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+ πŸ”— **Codebase**: [Continual-Mega/Continual-Mega](https://github.com/Continual-Mega/Continual-Mega)
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+ ---
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+ ## πŸš€ 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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+ - βœ… Diverse anomaly types across domains
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+ - πŸ” Class-incremental continual learning setup
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+ - πŸ“ˆ 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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+ ## πŸ“¦ 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)* | – | – |
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