Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos-Reference-Cited by-同舟云学术

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Chen Brian¹,Rouditchenko Andrew²,Duarte Kevin³,Kuehne Hilde⁴,Thomas Samuel⁵,Boggust Angie²,Panda Rameswar⁵,Kingsbury Brian⁵,Feris Rogerio⁵,Harwath David⁶,Glass James²,Picheny Michael⁷,Chang Shih-Fu¹

Affiliation:

1. Columbia University

2. MIT CSAIL

3. University of Central Florida

4. Goethe University Frankfurt

5. IBM Research AI

6. UT Austin

7. NYU-Courant CS & CDS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09709934.pdf?arnumber=9709934

Reference46 articles.

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2. ImageNet Large Scale Visual Recognition Challenge

3. HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

4. End-to-End Learning of Visual Representations From Uncurated Instructional Videos

5. Univilm: A unified video and language pre-training model for multimodal understanding and generation;luo,2020

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