Deep-SVDD-PyTorch
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lukasruff
A PyTorch implementation of the Deep SVDD anomaly detection method
Hello, Thanks for your source codes. Could I ask Why do not update batchnorm mean and var during training? affine=False means do not update batch normalization parameters. Thanks
We don't need to update value of c (center of volume) during the training?
Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.4.0. Release notes Sourced from ujson's releases. 5.4.0 Added Add support for arbitrary size integers (#548) @JustAnotherArchivist Fixed CVE-2022-31116: Replace wchar_t string decoding implementation with...
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Bumps [numpy](https://github.com/numpy/numpy) from 1.15.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
If you load pretrained model and weights for Autoencoder and pretrain = True, in deepSVDD.pretrain, it will build a new autoencoder without weights.
Bumps [pillow](https://github.com/python-pillow/Pillow) from 5.3.0 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk] Restrict builtins within...
Hi, I am mystified by this (Average AUCs in % with StdDevs (over 10 seeds) ). Do you mean to get the average results over 10 seeds. If then, what...
Hi, Thanks for sharing your source code! I clone this repository and run the experiment of cifar10 with digit 6 as the known class samples by the following command: ```bash...
