lukas/Seminar_in_AI
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

simplify model descr.

Browse Source
This commit is contained in:
Lukas Heiligenbrunner
2023-05-29 12:16:08 +02:00
parent 6bdea981f4
commit 5e57147d87
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
summary/main.tex
View File

@@ -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} \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}. 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. 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 SG label means stop gradient.
The loss function evaluations are fed into the opposite model as loss. The loss function evaluations are fed into the opposite model as loss.
The two models train each other. The two models train each other.