Papers with RGB space
‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions (P18-2)
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| Challenge: | Multimodal approaches to object recognition ground adjectives and nouns from text using comparative adjectives. |
| Approach: | They propose a new paradigm of grounding comparative adjectives within the realm of color descriptions by using a vector model. |
| Outcome: | The proposed model generates representations of comparative adjectives with an average accuracy of 0.65 cosine similarity to the desired direction of change. |
Grounding learning of modifier dynamics: An application to color naming (D19-1)
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| Challenge: | Existing models for grounding are unable to understand modified color expressions, such as “light blue”. |
| Approach: | They propose a model that learns more complex transformations in RGB space and a hard ensemble model that selects a color space depending on the modifier-color pair. |
| Outcome: | The proposed model performs better in the HSV color space than the state-of-the-art model. |