VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding-Reference-Cited by-同舟云学术

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VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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Author:

Xu Hu,Ghosh Gargi,Huang Po-Yao,Okhonko Dmytro,Aghajanyan Armen,Metze Florian,Zettlemoyer Luke,Feichtenhofer Christoph

Publisher

Association for Computational Linguistics

Cited by 119 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. Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal Grounding;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-09-12

2. Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. Delving into CLIP latent space for Video Anomaly Recognition;Computer Vision and Image Understanding;2024-09

4. Adapting CLIP for Action Recognition via Dual Semantic Supervision and Temporal Prompt Reparameterization;Electronics;2024-08-22

5. Multi-Task Learning of Object States and State-Modifying Actions From Web Videos;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-07

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