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# FSSD-12 dataset
We integrate a novel few-shot segmentation dataset （FSSD-12）of pure strip steel surface defect, including 12 different surface defects of strip steel.

![Results](https://user-images.githubusercontent.com/101933818/218291524-dbd5a168-ca6e-42ea-a673-05688ba0144c.png)

# CPANet
We propose a few-shot semantic segmentation method named cross position aggregation network (CPANet) to solve the number of strip steel surface defect is deficient and the ground truth is difficultly labeled.

![CPANet](https://user-images.githubusercontent.com/101933818/218291535-c1c24879-b36f-4b47-b16c-bdc08cabf92c.png)

# Download the dataset and code
The dataset and code are available at:https://pan.baidu.com/s/1_BORNJrO4msD0OPEcVSc-Q?pwd=9m10

# Paper 
https://ieeexplore.ieee.org/document/10049179

[2023-Cross Position Aggregation Network for Few-Shot Strip Steel Surface Defect Segmentation.pdf](https://github.com/VDT-2048/CPANet/files/13700218/2023-Cross.Position.Aggregation.Network.for.Few-Shot.Strip.Steel.Surface.Defect.Segmentation.pdf)

# Citation
H. Feng, K. Song, W. Cui, Y. Zhang and Y. Yan, "Cross Position Aggregation Network for Few-shot Strip Steel Surface Defect Segmentation," in IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2023.3246519.

# Related work of few-shot surface defect segmentation
[1] TGRNet：
Triplet-graph reasoning network for few-shot metal generic surface defect segmentation

The dataset and code are available at:https://pan.baidu.com/s/1dEai3yXrFOsuWcQ5mkE7_A?pwd=qzo6

# Few-shot classification for surface defects
[1] FSC-20 dataset & FaNet
The dataset and code are available at:https://github.com/VDT-2048/FSC-20

[2] MSD-Cls dataset & GTnet
The dataset and code are available at:https://github.com/successhaha/GTnet

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