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2011.13406
Cited By

Learning from Lexical Perturbations for Consistent Visual Question
Answering

v1v2 (latest)

Learning from Lexical Perturbations for Consistent Visual Question Answering

26 November 2020

Spencer Whitehead

Heng Ji

ArXiv (abs)PDF HTML

Papers citing "Learning from Lexical Perturbations for Consistent Visual Question Answering"

6 / 6 papers shown

A Comprehensive Survey on Visual Question Answering Datasets and Algorithms

Md. Saiful Islam

Marium-E. Jannat

322

12

0

17 Nov 2024

Negative Object Presence Evaluation (NOPE) to Measure Object
Hallucination in Vision-Language Models

Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models

Samuel Cahyawijaya

276

82

0

09 Oct 2023

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation
Incorporating Gloss Information

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss InformationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023

Rishabh Garodia

445

9

0

02 May 2023

Correlation Information Bottleneck: Towards Adapting Pretrained
Multimodal Models for Robust Visual Question Answering

Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question AnsweringInternational Journal of Computer Vision (IJCV), 2022

471

19

0

14 Sep 2022

SimVQA: Exploring Simulated Environments for Visual Question Answering

SimVQA: Exploring Simulated Environments for Visual Question AnsweringComputer Vision and Pattern Recognition (CVPR), 2022

Paola Cascante-Bonilla

Vicente Ordonez

234

10

0

31 Mar 2022

Discovering the Unknown Knowns: Turning Implicit Knowledge in the
Dataset into Explicit Training Examples for Visual Question Answering

Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering

Wei-Lun Chao

321

23

0

13 Sep 2021

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