metadata
license: cc-by-nc-4.0
datasets:
- Continual-Mega/Continual-Mega-Neurips2025
tags:
- pytorch_model_hub_mixin
🧠 Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection
This repository provides model checkpoints for Continual-MEGA, a benchmark introduced in the paper:
🔗 Codebase: Continual-Mega/Continual-Mega
🚀 Overview
Continual-MEGA introduces a realistic and large-scale benchmark for continual anomaly detection that emphasizes generalizability across domains and tasks.
The benchmark features:
- ✅ Diverse anomaly types across domains
- 🔁 Class-incremental continual learning setup
- 📈 A large-scale evaluation protocol surpassing previous benchmarks
This repository hosts pretrained model checkpoints used in various scenarios defined in the benchmark.
📦 Available Checkpoints
| Model Name | Scenario | Description |
|---|---|---|
model_sc2_base |
Scenario 2 | Trained on Sceanrio 2 base classes |
| (More to come) | – | – |