From bdbbbe860cecacaa911578520355c6770475695a Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Wed, 7 Nov 2018 16:06:47 +0000 Subject: COMPMID-1744: Add paper references in graph models. Change-Id: I031488247673de305f63b2a2e636f4cb17bd57f2 --- examples/graph_alexnet.cpp | 5 +++++ examples/graph_cl_shufflenet.cpp | 5 +++++ examples/graph_googlenet.cpp | 5 +++++ examples/graph_inception_resnet_v2.cpp | 5 +++++ examples/graph_inception_v3.cpp | 5 +++++ examples/graph_inception_v4.cpp | 5 +++++ examples/graph_mobilenet.cpp | 5 +++++ examples/graph_mobilenet_v2.cpp | 5 +++++ examples/graph_resnet50.cpp | 5 +++++ examples/graph_resnet_v2_50.cpp | 5 +++++ examples/graph_resnext50.cpp | 5 +++++ examples/graph_squeezenet.cpp | 5 +++++ examples/graph_squeezenet_v1_1.cpp | 5 +++++ examples/graph_vgg16.cpp | 5 +++++ examples/graph_vgg19.cpp | 5 +++++ examples/graph_yolov3.cpp | 5 +++++ 16 files changed, 80 insertions(+) (limited to 'examples') diff --git a/examples/graph_alexnet.cpp b/examples/graph_alexnet.cpp index c607672e5b..cfa8e94d10 100644 --- a/examples/graph_alexnet.cpp +++ b/examples/graph_alexnet.cpp @@ -170,6 +170,11 @@ private: }; /** Main program for AlexNet + * + * Model is based on: + * https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks + * "ImageNet Classification with Deep Convolutional Neural Networks" + * Alex Krizhevsky and Sutskever, Ilya and Hinton, Geoffrey E * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_cl_shufflenet.cpp b/examples/graph_cl_shufflenet.cpp index 70695bac56..0db34d6123 100644 --- a/examples/graph_cl_shufflenet.cpp +++ b/examples/graph_cl_shufflenet.cpp @@ -239,6 +239,11 @@ private: }; /** Main program for ShuffleNet + * + * Model is based on: + * https://arxiv.org/abs/1707.01083 + * "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices" + * Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_googlenet.cpp b/examples/graph_googlenet.cpp index c0954f775c..0b3ecffd86 100644 --- a/examples/graph_googlenet.cpp +++ b/examples/graph_googlenet.cpp @@ -198,6 +198,11 @@ private: }; /** Main program for Googlenet + * + * Model is based on: + * https://arxiv.org/abs/1409.4842 + * "Going deeper with convolutions" + * Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_inception_resnet_v2.cpp b/examples/graph_inception_resnet_v2.cpp index 7e9fd412af..5115696e65 100644 --- a/examples/graph_inception_resnet_v2.cpp +++ b/examples/graph_inception_resnet_v2.cpp @@ -782,6 +782,11 @@ private: }; /** Main program for Inception ResNet V2 + * + * Model is based on: + * https://arxiv.org/abs/1602.07261 + * "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning" + * Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex Alemi * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_inception_v3.cpp b/examples/graph_inception_v3.cpp index 6a381a1749..d9b7b05c9a 100644 --- a/examples/graph_inception_v3.cpp +++ b/examples/graph_inception_v3.cpp @@ -846,6 +846,11 @@ private: }; /** Main program for Inception V3 + * + * Model is based on: + * https://arxiv.org/abs/1512.00567 + * "Rethinking the Inception Architecture for Computer Vision" + * Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_inception_v4.cpp b/examples/graph_inception_v4.cpp index 77ef54cf98..d4854cff70 100644 --- a/examples/graph_inception_v4.cpp +++ b/examples/graph_inception_v4.cpp @@ -720,6 +720,11 @@ private: }; /** Main program for Inception V4 + * + * Model is based on: + * https://arxiv.org/abs/1602.07261 + * "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning" + * Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex Alemi * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_mobilenet.cpp b/examples/graph_mobilenet.cpp index 864937ffbf..19a395d492 100644 --- a/examples/graph_mobilenet.cpp +++ b/examples/graph_mobilenet.cpp @@ -339,6 +339,11 @@ private: }; /** Main program for MobileNetV1 + * + * Model is based on: + * https://arxiv.org/abs/1704.04861 + * "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" + * Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_mobilenet_v2.cpp b/examples/graph_mobilenet_v2.cpp index 44061809bf..2bff367b57 100644 --- a/examples/graph_mobilenet_v2.cpp +++ b/examples/graph_mobilenet_v2.cpp @@ -236,6 +236,11 @@ private: }; /** Main program for MobileNetV2 + * + * Model is based on: + * https://arxiv.org/abs/1801.04381 + * "MobileNetV2: Inverted Residuals and Linear Bottlenecks" + * Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_resnet50.cpp b/examples/graph_resnet50.cpp index f13383e5b7..ffdce2da4b 100644 --- a/examples/graph_resnet50.cpp +++ b/examples/graph_resnet50.cpp @@ -235,6 +235,11 @@ private: }; /** Main program for ResNetV1_50 + * + * Model is based on: + * https://arxiv.org/abs/1512.03385 + * "Deep Residual Learning for Image Recognition" + * Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_resnet_v2_50.cpp b/examples/graph_resnet_v2_50.cpp index b2c85e8938..c5c2e296f5 100644 --- a/examples/graph_resnet_v2_50.cpp +++ b/examples/graph_resnet_v2_50.cpp @@ -230,6 +230,11 @@ private: }; /** Main program for ResNetV2_50 + * + * Model is based on: + * https://arxiv.org/abs/1603.05027 + * "Identity Mappings in Deep Residual Networks" + * Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_resnext50.cpp b/examples/graph_resnext50.cpp index a52e18111c..f611535b90 100644 --- a/examples/graph_resnext50.cpp +++ b/examples/graph_resnext50.cpp @@ -185,6 +185,11 @@ private: }; /** Main program for ResNeXt50 + * + * Model is based on: + * https://arxiv.org/abs/1611.05431 + * "Aggregated Residual Transformations for Deep Neural Networks" + * Saining Xie, Ross Girshick, Piotr Dollar, Zhuowen Tu, Kaiming He * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_squeezenet.cpp b/examples/graph_squeezenet.cpp index ddb4474aac..17ec26e2a6 100644 --- a/examples/graph_squeezenet.cpp +++ b/examples/graph_squeezenet.cpp @@ -201,6 +201,11 @@ private: }; /** Main program for Squeezenet v1.0 + * + * Model is based on: + * https://arxiv.org/abs/1602.07360 + * "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size" + * Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_squeezenet_v1_1.cpp b/examples/graph_squeezenet_v1_1.cpp index de3d4e88c3..bfa69384c6 100644 --- a/examples/graph_squeezenet_v1_1.cpp +++ b/examples/graph_squeezenet_v1_1.cpp @@ -201,6 +201,11 @@ private: }; /** Main program for Squeezenet v1.1 + * + * Model is based on: + * https://arxiv.org/abs/1602.07360 + * "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size" + * Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_vgg16.cpp b/examples/graph_vgg16.cpp index 8e1e621cdc..4b5f33a7e8 100644 --- a/examples/graph_vgg16.cpp +++ b/examples/graph_vgg16.cpp @@ -235,6 +235,11 @@ private: }; /** Main program for VGG16 + * + * Model is based on: + * https://arxiv.org/abs/1409.1556 + * "Very Deep Convolutional Networks for Large-Scale Image Recognition" + * Karen Simonyan, Andrew Zisserman * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_vgg19.cpp b/examples/graph_vgg19.cpp index 6127c745ea..ff7cf751a1 100644 --- a/examples/graph_vgg19.cpp +++ b/examples/graph_vgg19.cpp @@ -246,6 +246,11 @@ private: }; /** Main program for VGG19 + * + * Model is based on: + * https://arxiv.org/abs/1409.1556 + * "Very Deep Convolutional Networks for Large-Scale Image Recognition" + * Karen Simonyan, Andrew Zisserman * * @note To list all the possible arguments execute the binary appended with the --help option * diff --git a/examples/graph_yolov3.cpp b/examples/graph_yolov3.cpp index aa136e1d6c..11d564c778 100644 --- a/examples/graph_yolov3.cpp +++ b/examples/graph_yolov3.cpp @@ -570,6 +570,11 @@ private: }; /** Main program for YOLOv3 + * + * Model is based on: + * https://arxiv.org/abs/1804.02767 + * "YOLOv3: An Incremental Improvement" + * Joseph Redmon, Ali Farhadi * * @note To list all the possible arguments execute the binary appended with the --help option * -- cgit v1.2.1