why do you have multiple models?

tientrandinh / Revisiting-Reverse-Distillation

(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection

MIT License

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why do you have multiple models? #14

Closed Leminhhuy2386 closed 6 months ago

Leminhhuy2386 commented 6 months ago

Thank you for your work! There is a pre-trained model for every object, as you uploaded. Don't you have a single model for all objects in the MVTecAD dataset? The results in the paper are the single model or multiple models?

tientrandinh commented 6 months ago

Thanks for your question. This paper is about anomaly detection for one class at a time (one model for one class). Your question relates to another type of task: anomaly detection for multi-class classification, which is not our goal in this paper. This paper, https://arxiv.org/abs/2206.03687, might capture your interest.