Yuke Zhu, Oliver Groth, Michael Bernstein, and Li Fei-Fei. Visual7W: Grounded Question Answering in Images. In IEEE Conference on Computer Vision and Pattern Recognition, 2016.Yuke Zhu, Oliver Groth, Michael Bernstein, and Li Fei-Fei. "Visual7w: Grounded question answering in images". In:...
Visual7W: Grounded Question Answering in Images 来自 Semantic Scholar 喜欢 0 阅读量: 676 作者:Y Zhu,O Groth,M Bernstein,FF Li 摘要: We have seen great progress in basic perceptual tasks such as object recognition and detection. However, AI models still fail to match humans in high-level ...
Code for the Grounded Visual Question Answering (GVQA) model from the paper -- Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering - AishwaryaAgrawal/GVQA
Our work aims to advance Visual Question Answering (VQA) in the surgical context with scene graph knowledge, addressing two main challenges in the current surgical VQA systems: removing question-condition bias in the surgical VQA dataset and incorporating scene-aware reasoning in the surgical VQA ...
Research question and data We use subjective well-being to demonstrate how Computing Grounded Theory could help to inspire and clarify the theory of well-being. The data used in this case are extracted from the Chinese General Social Survey (CGSS) of 2017, which includes a total of 12,582 ...
This work presents Sa2VA, the first unified model for dense grounded understanding of both images and videos. Unlike existing multi-modal large language models, which are often limited to specific modalities and tasks, Sa2VA supports a wide range of image and video tasks, including referring ...
Gqa: A new dataset for real-world visual reasoning and compositional question answering. In Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition, pages 6700–6709, 2019. 5 [17] Jingwei Ji, Ranjay Krishna, Li Fei-Fei, and Juan Carlos Niebles. Action genome: ...
We used the official released code and checkpoints inhttps://github.com/microsoft/GLIP. References Anderson, P., et al.: Bottom-up and top-down attention for image captioning and visual question answering. In: Computer Vision and Pattern Recognition (2017) ...
More broadly, Pidgeon and Henwood suggest that this phase of coding is answering the question: “what categories or labels do I need in order to account for what is of importance to me in this paragraph?” (1996, p. 92). Such coding is intensive and time consuming. For example, Table...
Multi-turn dialogue generation is an essential and challenging subtask of text generation in the question answering system. Existing methods focused on ext... B Ning,D Zhao,LG Li - 《World Wide Web-internet & Web Information Systems》 被引量: 0发表: 2023年 Enhancing Dialogue Generation via ...