simplify model descr.

summary/main.tex

@@ -147,7 +147,7 @@ Otherwise it will be kept and trains the model further.
 \section{Cross-Model Pseudo-Labeling}\label{sec:cross-model-pseudo-labeling}
 The newly invented approach of this paper is called Cross-Model Pseudo-Labeling (CMPL)\cite{Xu_2022_CVPR}.
 In Figure~\ref{fig:cmpl-structure} one can see its structure.
-We define two different models, a smaller, the auxiliary and a larger one, the primary model.
+We define two different models, a smaller auxiliary model and a larger model.
 The SG label means stop gradient.
 The loss function evaluations are fed into the opposite model as loss.
 The two models train each other.