Visual Grounding Methods for VQA are Working for the Wrong Reasons!

12 April 2020

Papers citing "Visual Grounding Methods for VQA are Working for the Wrong Reasons!"

7 / 7 papers shown

Title
Delving Deeper into Cross-lingual Visual Question Answering Chen Cecilia Liu Jonas Pfeiffer Anna Korhonen Ivan Vulić Iryna Gurevych 16 8 0 15 Feb 2022
Language bias in Visual Question Answering: A Survey and Taxonomy Desen Yuan 19 12 0 16 Nov 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering Jihyung Kil Cheng Zhang D. Xuan Wei-Lun Chao 53 20 0 13 Sep 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering Corentin Dancette Rémi Cadène Damien Teney Matthieu Cord CML 26 74 0 07 Apr 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems U. Mahmood Robik Shrestha D. Bates L. Mannelli G. Corrias Y. Erdi Christopher Kanan 16 16 0 04 Mar 2021
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach Y. Liu Yangyang Guo Jianhua Yin Xuemeng Song Weifeng Liu Liqiang Nie 24 28 0 03 Feb 2021
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies Itai Gat Idan Schwartz A. Schwing Tamir Hazan 51 89 0 21 Oct 2020