Shanghai Tech Training Method

donggong1 / memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

https://donggong1.github.io/anomdec-memae.html

MIT License

465 stars 103 forks source link

Shanghai Tech Training Method #15

Open funkyyyyyy opened 3 years ago

funkyyyyyy commented 3 years ago

Hi,

May i know how did you train on the Shanghai Tech dataset?

I trained on the entire dataset end-to-end and got an AUC that's very far off from 71.2%

q739554534 commented 3 years ago

Could you share the training code, please? Thank you very much， Email 739554534@qq.com

funkyyyyyy commented 3 years ago

Right... have you checked out https://github.com/lyn1874/memAE ?

Smallwhite999 commented 3 years ago

Hi,

May i know how did you train on the Shanghai Tech dataset?

I trained on the entire dataset end-to-end and got an AUC that's very far off from 71.2%

您好，向您请教一下，数据集Shanghai Tech dataset也是要像UCSD数据一样进行帧提取之后再训练还是直接进行训练啊？如果要进行帧提取之后再训练，该如何操作啊？