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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Published in | 2021 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 8219 - 8229 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2021
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Subjects | |
Online Access | Get full text |
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