Before being able to extract the answer to the question from a visual passage, or even retrieve such a passage, we focus here on Entity Retrieval, given the image of the question $\mathbf{i_q}$ and a collection of entities $(\mathbf{t_p},\mathbf{i_p})$, where $\mathbf{t_p}$ denotes the name of the entity and $\mathbf{i_p}$ its reference image. To do so, we define the following similarity function, which combines mono- and cross-modal similarities: \begin{equation} 
s(\mathbf{i_q}, \mathbf{t_p},\mathbf{i_p}) = \alpha_I s_I(\mathbf{i_q}, \mathbf{i_p}) + \alpha_C s_C(\mathbf{i_q}, \mathbf{t_p}) \label{eq:jcm_clip} 
\end{equation} 
