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Removing Bias in Multi-modal Classifiers: Regularization by Maximizing
  Functional Entropies

Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies

21 October 2020
Itai Gat
Idan Schwartz
A. Schwing
Tamir Hazan
ArXivPDFHTML

Papers citing "Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies"

3 / 3 papers shown
Title
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
Jie Ma
Min Hu
Pinghui Wang
Wangchun Sun
Lingyun Song
Hongbin Pei
Jun Liu
Youtian Du
24
4
0
18 Apr 2024
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
Jihyung Kil
Cheng Zhang
D. Xuan
Wei-Lun Chao
42
20
0
13 Sep 2021
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
136
1,403
0
06 Jun 2016
1