Language-guided Residual Graph Attention Network and Data Augmentation for Visual Grounding. Authors: Jia Wang, Hong-Han Shuai, Yung-Hui Li, Wen-Huang Cheng ...
It allows performing better visual grounding with complex expressions by using deeper layers than other graph network approaches. Moreover, to increase the ...
Language-Guided Residual Graph Attention Network and Data Augmentation for Visual Grounding. Article. Jun 2023. Jia Wang · Hong-Han Shuai · Yung-Hui ...
Visual grounding is an essential task in understanding the semantic relationship between the given text description and the target object in an image.
Language-guided residual graph attention network and data augmentation for visual grounding. J Wang, HH Shuai, YH Li, WH Cheng. ACM Transactions on Multimedia ...
Jia Wang, Hong-Han Shuai, Yung-Hui Li, and Wen-Huang Cheng, "Language-guided Residual Graph Attention Network and Data Augmentation for Visual Grounding," ACM ...
It allows performing better visual grounding with complex expressions by using deeper layers than other graph network approaches. Moreover, to increase the ...
People also ask
What are graph attention networks?
A graph-based, language-guided attention mechanism that represents inter-object relationships, and properties with a flexibility and power impossible with ...
A neat yet effective transformer-based framework for visual grounding, namely TransVG, to address the task of grounding a language query to the corresponding ...