Concepedia

Few-shot Defect Detection

Few-Shot Defect Detection is a defect detection paradigm that belongs to the class of machine learning approaches in which a model identifies anomalies or defects in new categories by learning from a very limited number of labeled defective instances, distinguishing itself through its reliance on minimal supervision compared to conventional defect detection methods requiring large annotated datasets.

31

Publications

1.5K

Citations

119

Authors

38

Institutions

Publications per year

2017–2026

30

Parents

Publications

31

Vehicle defect discovery from social media

Alan S. Abrahams, Jian Jiao, G. Alan Wang et al. · Decision Support Systems · 2012 · 245 citations

, , +13

Prompt engineering for zero‐shot and few‐shot defect detection and classification using a visual‐language pretrained model

Gunwoo Yong, Kahyun Jeon, Daeyoung Gil et al. · Computer-Aided Civil and Infrastructure Engineering · 2022 · 110 citations

, , +13

A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection

Shelly Sheynin, Sagie Benaim, Lior Wolf · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 94 citations

, , +11

Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation

Yuxuan Duan, Li Niu, Liqing Zhang · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 85 citations · Full text

, , +15

Few-Shot Steel Surface Defect Detection

Haohan Wang, Zhuoling Li, Haoqian Wang · IEEE Transactions on Instrumentation and Measurement · 2021 · 78 citations

, , +11

1–5 of 31

Authors

119

  1. KS
    Kechen Song

    Northeastern University, China

    3 publications · 169 citations

    3

    h-index

  2. YY
    Yunhui Yan

    Northeastern University, China

    3 publications · 169 citations

    3

    h-index

  3. DK
    Dermot Kerr

    University of Ulster, United Kingdom

    2 publications · 50 citations

    2

    h-index

  4. GD
    Guifang Duan

    Zhejiang University, China

    2 publications · 56 citations

    2

    h-index

  5. JT
    Jianrong Tan

    Zhejiang University, China

    2 publications · 56 citations

    2

    h-index

1–5 of 119

Institutions

38

  1. Northeastern University

    Shenyang, China

    6 h-index

    25 publications

    1.1K citations

  2. Xi'an Jiaotong University

    Xi'an, China

    3 h-index

    7 publications

    186 citations

  3. Zhejiang University

    Hangzhou, China

    3 h-index

    12 publications

    333 citations

  4. Chinese Academy of Sciences

    Beijing, China

    2 h-index

    8 publications

    278 citations

  5. University of Chinese Academy of Sciences

    Beijing, China

    2 h-index

    2 publications

    66 citations

  6. Taiyuan University of Technology

    Taiyuan, China

    2 h-index

    6 publications

    164 citations

  7. University of Ulster

    Coleraine, United Kingdom

    2 h-index

    4 publications

    100 citations

  8. Guizhou University

    Guiyang, China

    1 h-index

    1 publications

    40 citations

1–8 of 38

Venues

  1. 4

    h-index

  2. IEEE Transactions on Industrial Informatics

    3 publications · 102 citations

    3

    h-index

  3. Journal of Intelligent Manufacturing

    2 publications · 58 citations

    2

    h-index

  4. Computer-Aided Civil and Infrastructure Engineering

    CACAIE · 2 publications · 160 citations

    2

    h-index

  5. Computers in Industry

    2 publications · 84 citations

    2

    h-index

1–5