GitHub - sungikchoi/NVB: Code of Novelty Detection Via Blurring

This is an official implementation of "Novelty Detection Via Blurring"[ICLR 2020]

In this repository, we include CIFAR-10 : SVHN,LSUN,TinyImageNet implementation and results.

use ./compose_inverse.sh to replicate the whole process.

Minimum requirements

-Python=2.7

-Pytorch

-cv2

To downoad the resized LSUN and TinyImageNet datasets (you have to paste them into the data folder)

If you have any further questions, mail me: si_choi@kaist.ac.kr

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
models		models
18_epsilon0.txt		18_epsilon0.txt
18_epsilon1.txt		18_epsilon1.txt
20_epsilon0.txt		20_epsilon0.txt
20_epsilon1.txt		20_epsilon1.txt
22_epsilon0.txt		22_epsilon0.txt
22_epsilon1.txt		22_epsilon1.txt
24_epsilon0.txt		24_epsilon0.txt
24_epsilon1.txt		24_epsilon1.txt
25_epsilon0.txt		25_epsilon0.txt
25_epsilon1.txt		25_epsilon1.txt
26_epsilon0.txt		26_epsilon0.txt
26_epsilon1.txt		26_epsilon1.txt
27_epsilon0.txt		27_epsilon0.txt
27_epsilon1.txt		27_epsilon1.txt
28_epsilon0.txt		28_epsilon0.txt
28_epsilon1.txt		28_epsilon1.txt
LICENSE		LICENSE
README.md		README.md
baseline_main_nobar.py		baseline_main_nobar.py
baseline_tune_main.py		baseline_tune_main.py
compose_inverse.sh		compose_inverse.sh
merge_all_data.py		merge_all_data.py
roc_tpr.py		roc_tpr.py
roc_tpr.pyc		roc_tpr.pyc
subfunction.py		subfunction.py
subfunction.pyc		subfunction.pyc
utils.py		utils.py
utils.pyc		utils.pyc

sungikchoi/NVB