Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2004.05704
Cited By
Visual Grounding Methods for VQA are Working for the Wrong Reasons!
12 April 2020
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
Re-assign community
ArXiv
PDF
HTML
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
16
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
1