Cross-dataset Action Recognition

Cross-Dataset Action Recognition is a subtask of action recognition that involves training a model on one dataset and evaluating its performance on another dataset with different characteristics, thereby assessing the model's generalization capability across diverse data distributions, acquisition settings, or annotation protocols.

62

Publications

6.6K

Citations

216

Authors

102

Institutions

Publications per year

2017–2026

43

Authors

216

  1. LS
    Ling Shao

    Inception Institute of Artificial Intelligence, United Arab Emirates

    3 publications · 144 citations

    3

    h-index

  2. YL
    Yang Long

    Inception Institute of Artificial Intelligence, United Arab Emirates

    3 publications · 137 citations

    3

    h-index

  3. JL
    Jiwen Lu

    Tsinghua University, China

    2 publications · 48 citations

    2

    h-index

  4. XQ
    Xin Qin

    Chinese Academy of Sciences, China

    2 publications · 130 citations

    2

    h-index

  5. AS
    Amir Shahroudy

    Nanyang Technological University, Singapore

    2 publications · 3.3K citations

    2

    h-index

1–5 of 216

Venues

  1. 4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 421 citations

    4

    h-index

  3. IEEE Transactions on Image Processing

    3 publications · 291 citations

    3

    h-index

  4. IEEE Transactions on Multimedia

    3 publications · 57 citations

    3

    h-index

  5. 2

    h-index

1–5