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marco-rudolph
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AST
This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.
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GPU usage
#24
heidapao2b
opened
6 months ago
0
question about 3D data
#23
PtichkinSergey
opened
6 months ago
0
question about big picture of Anomaly Detection
#22
limaodaxia
closed
7 months ago
2
a question about training
#21
limaodaxia
closed
7 months ago
2
Codes for 3D-only I-AUROC
#20
zwandering
closed
8 months ago
2
How to do the experiment?
#19
limaodaxia
closed
8 months ago
1
How do you think the image-auc metric?
#18
limaodaxia
closed
8 months ago
3
RuntimeWarning: invalid value encountered in true_divide
#17
jcjlin
closed
7 months ago
1
Why the depth values will miss?
#16
limaodaxia
closed
9 months ago
6
RuntimeWarning: invalid value encountered in float_scalars
#15
Jay-zzcoder
closed
9 months ago
3
average ROC at the image level only 87.27?
#13
EWAN9709
closed
1 year ago
6
MVTec-AD ground_truth
#12
YJYanJie
closed
1 year ago
1
false positives on inference
#11
neo133
closed
1 year ago
6
Teacher and NF
#10
Leonardo0325
closed
10 months ago
1
custom dataset ground truth.
#9
danielsoy
closed
1 year ago
2
code for pixel-level auroc?
#8
NoahDDavis
closed
1 year ago
2
NF problem
#7
0belle
closed
1 year ago
3
Max and mean score, which corresponds the result reported in the paper?
#6
NoahDDavis
closed
1 year ago
2
print anomaly score?
#5
danielsoy
closed
1 year ago
2
Torch not compiled with CUDA enabled
#4
danielsoy
closed
1 year ago
6
NaN values of depth in data
#3
NoahDDavis
closed
1 year ago
6
network question
#2
0belle
closed
1 year ago
5
code request
#1
0belle
closed
1 year ago
2