Self-Supervised Video Representation Learning with Meta-Contrastive Network

Self-supervised learning has been successfully applied to pre-train video representations, which aims at efficient adaptation from pre-training domain to downstream tasks. Existing approaches merely leverage contrastive loss to learn instance-level discrimination. However, lack of category informati...

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Bibliographic Details
Published in2021 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 8219 - 8229
Main Authors Lin, Yuanze, Guo, Xun, Lu, Yan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2021
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