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FuNz-0
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PromptAD
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
The Unlicense
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如何设置不同shot值
#20
aca123456789
opened
6 days ago
4
The resource of the model
#19
hhvlm
opened
2 weeks ago
1
How to detect seg with pt file
#18
SeolHyunuk
opened
2 weeks ago
0
train_cls.py的epoch
#17
Nianwenxin
opened
4 weeks ago
3
script run_cls.py has error
#16
armandal88
opened
1 month ago
1
Can not reproduce the results
#15
AlirezaSalehy
closed
1 month ago
6
test on one new image
#14
baraa-m
opened
2 months ago
0
如何在自建数据集训练并测试?
#13
yoho131
opened
2 months ago
3
模型能否导出来onnx格式?
#12
Kaze816
opened
2 months ago
3
datasets/seeds_mvtec/bottle/selected_samples_per_run.txt
#11
dawn-moqing
opened
2 months ago
3
Screw class seems fail to reach the reported detetcion AUROC
#10
HuWeiYu
opened
2 months ago
1
Execution error with run_cls.py
#9
CaesarDingg
opened
3 months ago
8
run_seg.py shots有什么含义?
#8
Drm-hello
closed
3 months ago
1
experiments requirements
#7
daijiuqian
opened
4 months ago
1
Pre-trained Weights.
#6
CHELSEA234
opened
4 months ago
1
May I know if the epoch is 1 or not?
#5
Diana1026
closed
4 months ago
1
The results of few-shot anomaly detection will be different on different devices.
#4
FuNz-0
opened
5 months ago
0
Code
#3
Drangonliao123
opened
5 months ago
1
code
#2
liwenyang-911
opened
5 months ago
2
can you provide a download link for this CVPR2024 paper?
#1
fikry102
opened
6 months ago
2