Researcher profile
Chengkun Wang
2 papers in the PaperMetrix corpus
Publications
Papers by this author
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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 …
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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 …