Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions
Table 1: Performance comparison of the different methods in terms of averaged DCG
['Method', 'fc6', 'fc7']
These results show a significant improvement of our proposal with respect to the compared methods. When using fc6 as the visual space, Text2Vis1 obtains a 8.51% relative improvement with respect to VisSim and 1.40% over VisReg. The improvements of Text2VisN are respectively of 8.08% and 0.94%. When using fc7 as the visual space it is Text2VisN that obtains, yet by a small margin, the best result. The relative improvements of Text2Vis1 over emphVisSim and VisReg are respectively of 8.48% and 0.97%, and for Text2VisN respectively of 8.60% and 1.09%.