Figure 1.

Overview of the zero-shot learning method. In the learning phase, we learn how to project feature vectors (X) onto semantic vectors (Z) from training data (red arrow). In the testing phase, we project test feature data onto the semantic space, and then identify the class (Y) to which the estimated semantic vector belongs (green arrow). In this paper, we compare 3 methods with different semantic spaces.