Improving VQA and its Explanations \\ by Comparing Competing Explanations

Jialin Wu
Jialin Wu
Liyan Chen
Liyan Chen
Cited by: 0|Bibtex|Views39
Other Links: arxiv.org

Abstract:

Most recent state-of-the-art Visual Question Answering (VQA) systems are opaque black boxes that are only trained to fit the answer distribution given the question and visual content. As a result, these systems frequently take shortcuts, focusing on simple visual concepts or question priors. This phenomenon becomes more problematic as t...More

Code:

Data:

Your rating :
0

 

Tags
Comments