Question Relevance in VQA: Identifying Non-Visual And False-Premise
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Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions

21 June 2016

Gordon A. Christie

Devi Parikh

Papers citing "Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions"

9 / 9 papers shown

Title
Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions Junzhang Liu Zhecan Wang Hammad A. Ayyubi Haoxuan You Chris Thomas Rui Sun Shih-Fu Chang Kai-Wei Chang 34 0 0 18 May 2024
YTCommentQA: Video Question Answerability in Instructional Videos Saelyne Yang Sunghyun Park Yunseok Jang Moontae Lee 23 3 0 30 Jan 2024
See, Say, and Segment: Teaching LMMs to Overcome False Premises Tsung-Han Wu Giscard Biamby David M. Chan Lisa Dunlap Ritwik Gupta Xudong Wang Joseph E. Gonzalez Trevor Darrell VLM MLLM 30 18 0 13 Dec 2023
COLA: A Benchmark for Compositional Text-to-image Retrieval Arijit Ray Filip Radenovic Abhimanyu Dubey Bryan A. Plummer Ranjay Krishna Kate Saenko CoGe VLM 38 34 0 05 May 2023
What You Say Is What You Show: Visual Narration Detection in Instructional Videos Kumar Ashutosh Rohit Girdhar Lorenzo Torresani Kristen Grauman 11 4 0 05 Jan 2023
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations Roy Schwartz Gabriel Stanovsky 22 24 0 27 Apr 2022
Active Learning for Visual Question Answering: An Empirical Study Xiaoyu Lin Devi Parikh 31 31 0 06 Nov 2017
It Takes Two to Tango: Towards Theory of AI's Mind Arjun Chandrasekaran Deshraj Yadav Prithvijit Chattopadhyay Viraj Prabhu Devi Parikh 28 53 0 03 Apr 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 97 3,115 0 02 Dec 2016