More Knowledge, Less Bias: Unbiasing Scene Graph Generation with Explicit Ontological Adjustment

Author:

Chen Zhanwen1,Rezayi Saed2,Li Sheng1

Affiliation:

1. University of Virginia,School of Data Science

2. University of Georgia,School of Computing

Funder

Arm

Publisher

IEEE

Cited by 7 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. Review on scene graph generation methods;Multiagent and Grid Systems;2024-08-12

2. ESRA: a Neuro-Symbolic Relation Transformer for Autonomous Driving;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Foundations of spatial perception for robotics: Hierarchical representations and real-time systems;The International Journal of Robotics Research;2024-02-12

4. Refine and Redistribute: Multi-Domain Fusion and Dynamic Label Assignment for Unbiased Scene Graph Generation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Iterative Learning with Extra and Inner Knowledge for Long-tail Dynamic Scene Graph Generation;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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