CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset
Author:
Affiliation:
1. Shandong University
2. Ant Group
3. Harbin Institute of Technology (Shenzhen)
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205453.pdf?arnumber=10205453
Reference46 articles.
1. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
2. All in One: Exploring Unified Video-Language Pre-Training;wang;ArXiv Preprint,2022
3. Hard negative mixing for contrastive learning;kalantidis;Advances in neural information processing systems,2020
4. Video Question Answering: a Survey of Models and Datasets
5. Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling
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