Concepedia

Progressive Pruning

Progressive Pruning is a model compression technique that iteratively removes redundant parameters or structures from a neural network in stages, gradually increasing sparsity while preserving performance, thereby distinguishing itself from one-shot pruning methods through its phased and adaptive refinement approach.

19

Publications

833

Citations

84

Authors

34

Institutions

Publications per year

2017–2026

14

Parents

Publications

19

Progressive Contextual Instance Refinement for Weakly Supervised Object Detection in Remote Sensing Images

Xiaoxu Feng, Junwei Han, Xiwen Yao et al. · IEEE Transactions on Geoscience and Remote Sensing · 2020 · 114 citations

, , +10

Progressive computation of the min-dist optimal-location query

Donghui Zhang, Yang Du, Tian Xia et al. · Very Large Data Bases · 2006 · 98 citations

, , +12

Progressive Correspondence Pruning by Consensus Learning

Chen Zhao, Yixiao Ge, Feng Zhu et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 91 citations · Full text

, , +13

Model Compression Using Progressive Channel Pruning

Jinyang Guo, Weichen Zhang, Wanli Ouyang et al. · IEEE Transactions on Circuits and Systems for Video Technology · 2020 · 76 citations

, , +15

Progressive Local Filter Pruning for Image Retrieval Acceleration

Xiaodong Wang, Zhedong Zheng, Yang He et al. · IEEE Transactions on Multimedia · 2023 · 69 citations · Full text

, , +13

1–5 of 19

Authors

84

  1. SL
    Sijia Liu

    Michigan State University, United States

    2 publications · 64 citations

    2

    h-index

  2. YW
    Yanzhi Wang

    Northeastern University, United States

    2 publications · 64 citations

    2

    h-index

  3. JP
    Jihong Pei

    Shenzhen University, China

    2 publications · 29 citations

    2

    h-index

  4. JT
    Jian Tang

    Syracuse University, United States

    2 publications · 64 citations

    2

    h-index

  5. TZ
    Tianyun Zhang

    Syracuse University, United States

    2 publications · 64 citations

    2

    h-index

1–5 of 84

Institutions

34

  1. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    2 h-index

    3 publications

    280 citations

  2. The University of Sydney

    Sydney, Australia

    2 h-index

    6 publications

    376 citations

  3. Shenzhen University

    Shenzhen, China

    2 h-index

    4 publications

    58 citations

  4. Zhejiang University of Science and Technology

    Hangzhou, China

    1 h-index

    1 publications

    69 citations

  5. Xiamen University of Technology

    Xiamen, China

    1 h-index

    3 publications

    207 citations

  6. Zhejiang Lab

    Hangzhou, China

    1 h-index

    2 publications

    32 citations

  7. Northeastern University

    Boston, United States

    1 h-index

    3 publications

    294 citations

  8. Universidade de São Paulo

    São Paulo, Brazil

    1 h-index

    1 publications

    34 citations

1–8 of 34

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 80 citations

    3

    h-index

  2. Neurocomputing

    2 publications · 85 citations

    2

    h-index

  3. 2

    h-index

  4. Information Sciences

    1 publications · 34 citations

    1

    h-index

  5. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 91 citations

    1

    h-index

1–5