How can objects help action recognition?-Reference-Cited by-同舟云学术

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How can objects help action recognition?

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

Zhou Xingyi¹,Arnab Anurag¹,Sun Chen¹,Schmid Cordelia¹

Affiliation:

1. Google Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203460.pdf?arnumber=10203460

Reference60 articles.

1. Multiscale vision transformers Savi++: Towards end-to-end object-centric learning from real-world videos;fan;In ICCV,2021

2. Is an object-centric video representation beneficial for transfer?;zhang;ACCV,2022

3. Savi++: Towards end-to-end object-centric learning from real-world videos;elsayed;NeurIPS,2022

4. A-ViT: Adaptive Tokens for Efficient Vision Transformer

5. Masked autoencoders as spatiotemporal learners;feichtenhofer;NeurIPS,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Outlook into the Future of Egocentric Vision;International Journal of Computer Vision;2024-05-28

2. Object-centric Video Representation for Long-term Action Anticipation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. Helping Hands: An Object-Aware Ego-Centric Video Recognition Model;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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