From 5e57147d87998841062b8a4c6989d2e87aaa9bec Mon Sep 17 00:00:00 2001
From: lukas-heiligenbrunner <lukas.heiligenbrunner@gmail.com>
Date: Mon, 29 May 2023 12:16:08 +0200
Subject: [PATCH] simplify model descr.

---
 summary/main.tex | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/summary/main.tex b/summary/main.tex
index b431de4..363196d 100644
--- a/summary/main.tex
+++ b/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.