From 595878b4acb5ace532294820596b53af6f7dd6a3 Mon Sep 17 00:00:00 2001
From: lukas-heiligenbrunner <lukas.heiligenbrunner@gmail.com>
Date: Wed, 2 Oct 2024 18:00:07 +0200
Subject: [PATCH] add sources for patchcore and efficientaD

---
 src/materialandmethods.tex | 10 ++++++++++
 src/sources.bib            | 20 ++++++++++++++++++++
 2 files changed, 30 insertions(+)

diff --git a/src/materialandmethods.tex b/src/materialandmethods.tex
index 0f94798..bdc5497 100644
--- a/src/materialandmethods.tex
+++ b/src/materialandmethods.tex
@@ -22,6 +22,16 @@ Each category comprises a set of defect-free training images and a test set of i
 
 \subsubsection{Few-Shot Learning}
 
+\subsubsection{Patchcore}
+
+%todo also show values how they perform on MVTec AD
+
+\subsubsection{EfficientAD}
+todo stuff~\cite{patchcorepaper}
+% https://arxiv.org/pdf/2106.08265
+todo stuff\cite{efficientADpaper}
+% https://arxiv.org/pdf/2303.14535
+
 \subsubsection{Jupyter Notebook}\label{subsubsec:jupyternb}
 
 A Jupyter notebook is a shareable document which combines code and its output, text and visualizations.
diff --git a/src/sources.bib b/src/sources.bib
index 2b285ad..9a816a3 100644
--- a/src/sources.bib
+++ b/src/sources.bib
@@ -15,3 +15,23 @@
     volume = {14},
     year = {1952}
 }
+
+@misc{efficientADpaper,
+    title={EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies},
+    author={Kilian Batzner and Lars Heckler and Rebecca König},
+    year={2024},
+    eprint={2303.14535},
+    archivePrefix={arXiv},
+    primaryClass={cs.CV},
+    url={https://arxiv.org/abs/2303.14535},
+}
+
+@misc{patchcorepaper,
+    title={Towards Total Recall in Industrial Anomaly Detection},
+    author={Karsten Roth and Latha Pemula and Joaquin Zepeda and Bernhard Schölkopf and Thomas Brox and Peter Gehler},
+    year={2022},
+    eprint={2106.08265},
+    archivePrefix={arXiv},
+    primaryClass={cs.CV},
+    url={https://arxiv.org/abs/2106.08265},
+}
\ No newline at end of file