hwankam / pytorch-deep-svdd

My PyTorch implementation of Deep SVDD for Anomaly Detection

Deep-SVDD

This is my Minimal Pytorch implementation of Deep One-Class Classification (Deep SVDD) for Anomaly Detection (ICML 2018).

Results

This implementation achieves similar results as the original implementation provided by the authors.

Inlier class	Original Pytorch Implementation	This implementation
0	97.77 ± 0.51	97.86 ± 0.67
1	99.42 ± 0.06	99.47 ± 0.01
2	88.91 ± 0.99	90.42 ± 1.70
3	90.5 ± 1.48	91.05 ± 0.27
4	93.48 ± 1.24	93.38 ± 0.93
5	86.01 ± 1.30	88.21 ± 1.21
6	98.27 ± 0.2	98.18 ± 0.1
7	95.07 ± 0.72	95.16 ± 0.67
8	92.99 ± 0.75	93.03 ± 0.12
9	95.77 ± 0.34	95.49 ± 0.06