From 1aba0e92b057cb1d268e3d553b8985ccfaa88046 Mon Sep 17 00:00:00 2001
From: Tim Laibacher <tim.laibacher@idiap.ch>
Date: Wed, 28 Aug 2019 14:44:43 +0200
Subject: [PATCH] Add acknowledgments
---
doc/acknowledgements.rst | 39 +++++++++++++++++++++++++++++++++++++++
doc/index.rst | 1 +
2 files changed, 40 insertions(+)
create mode 100644 doc/acknowledgements.rst
diff --git a/doc/acknowledgements.rst b/doc/acknowledgements.rst
new file mode 100644
index 00000000..7dde8b5d
--- /dev/null
+++ b/doc/acknowledgements.rst
@@ -0,0 +1,39 @@
+.. -*- coding: utf-8 -*-
+.. _bob.ip.binseg.acknowledgements:
+
+================
+Acknowledgements
+================
+
+This packages utilizes code from the following packages:
+
+* The model-checkpointer is based on the Checkpointer in maskrcnn_benchmark by::
+
+ @misc{massa2018mrcnn,
+ author = {Massa, Francisco and Girshick, Ross},
+ title = {{maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch}},
+ year = {2018},
+ howpublished = {\url{https://github.com/facebookresearch/maskrcnn-benchmark}},
+ note = {Accessed: 2019.05.01}
+ }
+
+* The AdaBound optimizer code by::
+
+ @inproceedings{Luo2019AdaBound,
+ author = {Luo, Liangchen and Xiong, Yuanhao and Liu, Yan and Sun, Xu},
+ title = {Adaptive Gradient Methods with Dynamic Bound of Learning Rate},
+ booktitle = {Proceedings of the 7th International Conference on Learning Representations},
+ month = {May},
+ year = {2019},
+ address = {New Orleans, Louisiana}
+ }
+
+* The MobileNetV2 backbone is based on an implementation by::
+
+ @misc{tonylins,
+ author = {Ji Lin},
+ title = {pytorch-mobilenet-v2},
+ year = {2018}
+ howpublished = {\url{https://github.com/tonylins/pytorch-mobilenet-v2}},
+ note = {Accessed: 2019.05.01}
+ }
diff --git a/doc/index.rst b/doc/index.rst
index 18d8d561..013e46c2 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -26,6 +26,7 @@ Users Guide
plotting
visualization
api
+ acknowledgements
.. todolist::
--
GitLab