Papers with visual-textual correspondences
Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets (N18-1)
Copied to clipboard
| Challenge: | Existing work suggests that concepts with concrete visual manifestations are easier to learn than abstract ones. |
| Approach: | They propose an algorithm for automatically computing the visual concreteness of words and topics within multimodal datasets. |
| Outcome: | The proposed algorithm predicts the capacity of machine learning algorithms to learn textual/visual relationships. |