Cali-NCE: Boosting Cross-modal Video Representation Learning with Calibrated Alignment-Reference-Cited by-同舟云学术

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Cali-NCE: Boosting Cross-modal Video Representation Learning with Calibrated Alignment

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
language:
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Author:

Zhao Nanxuan¹,Jiao Jianbo²,Xie Weidi³,Lin Dahua⁴

Affiliation:

1. University of Bath,Department of Computer Science

2. University of Birmingham,School of Computer Science

3. Shanghai Jiaotong University,Cooperative Medianet Innovation Center

4. Chinese University of Hong Kong,Department of Information Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10209009.pdf?arnumber=10209009

Reference78 articles.

1. Improved baselines with momentum contrastive learning;chen,2020

2. How2: a large-scale dataset for multimodal language understanding;sanabria,2018

3. A simple framework for contrastive learning of visual representations;chen;ICML,2020

4. Broaden Your Views for Self-Supervised Video Learning

5. Interaction between language and vision: It’s momentary, abstract, and it develops

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