diff --git a/CMakeLists.txt b/CMakeLists.txt
index 1915c60906f0291cd6eaba2ef06df5daa34a5e38..c5dd4274060de59424c9226cdf1dd71095ddb4e7 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -718,7 +718,7 @@ if (UNIX OR APPLE)
       set(CAFFE_CPU_ONLY OFF)
       if (${GPU_MODE} MATCHES "CUDA")
         # execute_process(COMMAND git checkout master WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/3rdparty/caffe)
-        execute_process(COMMAND git checkout b5ede48 WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/3rdparty/caffe)
+        execute_process(COMMAND git checkout c95002f WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/3rdparty/caffe)
       elseif (${GPU_MODE} MATCHES "CPU_ONLY")
         if (USE_MKL)
           #execute_process(COMMAND git checkout intel WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/3rdparty/caffe)
@@ -754,7 +754,7 @@ if (UNIX OR APPLE)
             )
         else (USE_MKL)
           # execute_process(COMMAND git checkout master WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/3rdparty/caffe)
-          execute_process(COMMAND git checkout b5ede48 WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/3rdparty/caffe)
+          execute_process(COMMAND git checkout c95002f WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/3rdparty/caffe)
         endif (USE_MKL)
         set(CAFFE_CPU_ONLY ON)
         set(USE_CUDNN OFF)
diff --git a/doc/installation.md b/doc/installation.md
index da7dd7c8071ec1c9f4d42c712aa49b99bd2b6978..ace02def72153da80bd80cd81ead146878f6cdb0 100644
--- a/doc/installation.md
+++ b/doc/installation.md
@@ -395,6 +395,8 @@ To use a NVIDIA's NVCaffe docker image instead of the standard Caffe, set the fo
 2. Set the `BUILD_CAFFE` variable to `OFF`.
 3. Set the correct `Caffe_INCLUDE_DIRS` and `Caffe_LIBS` paths following [Custom Caffe](#custom-caffe).
 
+In addition, [peter-uhrig.de/openpose-with-nvcaffe-in-a-singularity-container-with-support-for-multiple-architectures/](http://peter-uhrig.de/openpose-with-nvcaffe-in-a-singularity-container-with-support-for-multiple-architectures/) contains a detailed step-by-step guide to install a portable container with NVCaffe and support for multiple NVidia cards as well as CPU.
+
 
 
 #### Custom OpenCV