Contrastive Video Question Answering via Video Graph Transformer
Author:
Affiliation:
1. National University of Singapore, Singapore
2. Sea AI Lab, Singapore
3. Hefei University of Technology, Hefei, China
Funder
Sea-NExT Joint Lab
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10269680/10172254.pdf?arnumber=10172254
Reference85 articles.
1. Reasoning with Heterogeneous Graph Alignment for Video Question Answering
2. Microsoft COCO: Common objects in context;lin;Proc Eur Conf Comput Vis,2014
3. Motion-Appearance Co-memory Networks for Video Question Answering
4. Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
5. Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
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