Concepedia

Cross-domain Generalization

Cross-Domain Generalization is a methodological framework in defect classification that enables the transfer and consistent application of detection or classification models across distinct application domains by preserving performance despite variations in data distribution, context, or artifact characteristics.

380

Publications

30.1K

Citations

1.5K

Authors

406

Institutions

Publications per year

2017–2026

353

Parents

Publications

380

Conditional Prompt Learning for Vision-Language Models

Kaiyang Zhou, Jingkang Yang, Chen Change Loy et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 1.5K citations

, , +14

Learning to Generalize: Meta-Learning for Domain Generalization

Da Li, Yongxin Yang, Yi-Zhe Song et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 1.2K citations · Full text

, , +13

Domain Generalization: A Survey

Kaiyang Zhou, Ziwei Liu, Yu Qiao et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2022 · 1.1K citations

, , +13

Domain Generalization for Object Recognition with Multi-task Autoencoders

Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang et al. · 2015 · 664 citations

, , +15

Domain Generalization via Invariant Feature Representation

Krikamol Muandet, David Balduzzi · arXiv (Cornell University) · 2013 · 583 citations · Full text

, , +17

1–5 of 380

Authors

1.5K

  1. KZ
    Kaiyang Zhou

    Nanyang Technological University, Singapore

    8 publications · 2.9K citations

    8

    h-index

  2. NS
    Nicu Sebe

    University of Trento, Italy

    6 publications · 438 citations

    6

    h-index

  3. TX
    Tao Xiang

    Queen Mary University of London, United Kingdom

    6 publications · 1.4K citations

    6

    h-index

  4. HL
    Haoliang Li

    Nanyang Technological University, Singapore

    6 publications · 477 citations

    6

    h-index

  5. BC
    Barbara Caputo

    Idiap Research Institute, Switzerland

    6 publications · 212 citations

    6

    h-index

1–5 of 1.5K

Institutions

406

  1. Nanyang Technological University

    Singapore, Singapore

    15 h-index

    33 publications

    11.9K citations

  2. Chinese Academy of Sciences

    Beijing, China

    14 h-index

    53 publications

    4.1K citations

  3. Shanghai Jiao Tong University

    Shanghai, China

    12 h-index

    44 publications

    1.7K citations

  4. Tsinghua University

    Beijing, China

    10 h-index

    24 publications

    1.9K citations

  5. University of Science and Technology of China

    Hefei, China

    10 h-index

    35 publications

    2.9K citations

  6. University of Hong Kong

    Pok Fu Lam, Hong Kong

    9 h-index

    15 publications

    937 citations

  7. University of Chinese Academy of Sciences

    Beijing, China

    9 h-index

    30 publications

    2.4K citations

  8. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    8 h-index

    25 publications

    3.5K citations

1–8 of 406

Venues

  1. arXiv (Cornell University)

    Repository · 77 publications · 4.5K citations

    32

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 12 publications · 1.7K citations

    11

    h-index

  3. 11

    h-index

  4. IEEE Transactions on Image Processing

    9 publications · 696 citations

    9

    h-index

  5. 6

    h-index

1–5