From ac926175edf7fe2e335445c93f74b362488743b0 Mon Sep 17 00:00:00 2001
From: mseg-dataset <62491525+mseg-dataset@users.noreply.github.com>
Date: Sat, 6 Jan 2024 11:49:37 -0500
Subject: [PATCH] Update TPAMI bibtex (#53)

---
 README.md | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 5115ed8..1f8fccc 100755
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 This repo includes the **semantic segmentation pre-trained models, training and inference code** for the paper:
 
-**MSeg: A Composite Dataset for Multi-domain Semantic Segmentation** (CVPR 2020, Official Repo) [[CVPR PDF]](http://vladlen.info/papers/MSeg.pdf) [[Journal PDF]](https://arxiv.org/abs/2112.13762)
+**MSeg: A Composite Dataset for Multi-domain Semantic Segmentation** (CVPR 2020, Official Repo) [[CVPR PDF]](http://vladlen.info/papers/MSeg.pdf) [[TPAMI Journal PDF]](https://arxiv.org/abs/2112.13762)
 <br>
 [John Lambert*](https://johnwlambert.github.io/),
 [Zhuang Liu*](https://liuzhuang13.github.io/),
@@ -142,6 +142,17 @@ title = {{MSeg}: A Composite Dataset for Multi-domain Semantic Segmentation},
 booktitle = {Computer Vision and Pattern Recognition (CVPR)},
 year = {2020}
 }
+
+@article{Lambert23tpami_MSeg,
+  author={Lambert, John and Liu, Zhuang and Sener, Ozan and Hays, James and Koltun, Vladlen},
+  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
+  title={MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation}, 
+  year={2023},
+  volume={45},
+  number={1},
+  pages={796-810},
+  doi={10.1109/TPAMI.2022.3151200}
+}
 ```
 
 Many thanks to Hengshuang Zhao for his [semseg](https://github.com/hszhao/semseg) repo, which we've based much of this repository off of.