Researcher profile

Chengkun Wang

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions

    2022 · arXiv (Cornell University)

    The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how …

  2. OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions

    2023

    The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how …