Multi-scale Feature Aggregation

Multi-Scale Feature Aggregation is a feature aggregation method that integrates visual representations across multiple spatial scales to enhance discriminative capability and contextual understanding in instance segmentation.

197

Publications

23K

Citations

864

Authors

260

Institutions

Publications per year

2017–2026

197

Authors

864

  1. MX
    Min Xia

    Nanjing University of Information Science and Technology, China

    5 publications · 246 citations

    5

    h-index

  2. LS
    Ling Shao

    Inception Institute of Artificial Intelligence, United Arab Emirates

    5 publications · 1.1K citations

    5

    h-index

  3. HL
    Haifeng Lin

    Nanjing Forestry University, China

    5 publications · 246 citations

    5

    h-index

  4. HY
    Hongyu Yang

    Civil Aviation University of China, China

    3 publications · 361 citations

    3

    h-index

  5. DH
    Di Huang

    Beihang University, China

    3 publications · 361 citations

    3

    h-index

1–5 of 864

Venues

  1. arXiv (Cornell University)

    Repository · 26 publications · 1.2K citations

    18

    h-index

  2. Remote Sensing

    16 publications · 592 citations

    13

    h-index

  3. 11

    h-index

  4. IEEE Access

    9 publications · 243 citations

    9

    h-index

  5. IEEE Transactions on Image Processing

    5 publications · 640 citations

    5

    h-index

1–5