Loading...
Please wait, while we are loading the content...
Similar Documents
Why Does a Visual Question Have Different Answers?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bhattacharya, Nilavra Li, Qing Gurari, Danna |
| Copyright Year | 2019 |
| Abstract | Visual question answering is the task of returning the answer to a question about an image. A challenge is that different people often provide different answers to the same visual question. To our knowledge, this is the first work that aims to understand why. We propose a taxonomy of nine plausible reasons, and create two labelled datasets consisting of ∼45,000 visual questions indicating which reasons led to answer differences. We then propose a novel problem of predicting directly from a visual question which reasons will cause answer differences as well as a novel algorithm for this purpose. Experiments demonstrate the advantage of our approach over several related baselines on two diverse datasets. We publicly share the datasets and code at https://vizwiz.org. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://export.arxiv.org/pdf/1908.04342 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
