Multi-Modal Dynamic Graph Transformer for Visual Grounding

Author:

Chen Sijia1,Li Baochun1

Affiliation:

1. University of Toronto,Department of Electrical and Computer Engineering

Publisher

IEEE

Cited by 10 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. Improving visual grounding with multi-modal interaction and auto-regressive vertex generation;Neurocomputing;2024-09

2. Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention;Proceedings of the 2024 Symposium on Eye Tracking Research and Applications;2024-06-04

3. Adaptive knowledge distillation and integration for weakly supervised referring expression comprehension;Knowledge-Based Systems;2024-02

4. Self-Enhanced Training Framework for Referring Expression Grounding;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

5. Weakly Supervised Referring Expression Grounding via Dynamic Self-Knowledge Distillation;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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