Liang-Chieh Chen, George Papandreou, Florian Schroff & Hartwig Adam (2017):
Rethinking Atrous Convolution for Semantic Image Segmentation.
CoRR abs/1706.05587,
doi:10.48550/arXiv.1706.05587.
ArXiv:1706.05587.
Jang Hyun Cho & Bharath Hariharan (2019):
On the Efficacy of Knowledge Distillation.
In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV),
pp. 4793–4801,
doi:10.1109/ICCV.2019.00489.
Xin Dong, Shangyu Chen & Sinno Jialin Pan (2017):
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon.
CoRR abs/1705.07565,
doi:10.48550/arXiv.1705.07565.
ArXiv:1705.07565.
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn & A. Zisserman:
The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results.
http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html.
Eduardo Fernandez-Moral, Renato Martins, Denis Wolf & Patrick Rives (2018):
A New Metric for Evaluating Semantic Segmentation: Leveraging Global and Contour Accuracy.
In: 2018 IEEE Intelligent Vehicles Symposium (IV),
pp. 1051–1056,
doi:10.1109/IVS.2018.8500497.
Kaiming He, Xiangyu Zhang, Shaoqing Ren & Jian Sun (2016):
Deep Residual Learning for Image Recognition.
In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
pp. 770–778,
doi:10.1109/CVPR.2016.90.
Rafia Inam, Elena Fersman, Klaus Raizer, Ricardo Souza, Amadeu Nascimento & Alberto Hata (2018):
Safety for Automated Warehouse exhibiting collaborative robots.
In: Safety and Reliability–Safe Societies in a Changing World.
CRC Press,
pp. 2021–2028,
doi:10.1201/9781351174664-254.
Rafia Inam, Klaus Raizer, Alberto Hata, Ricardo Souza, Elena Forsman, Enyu Cao & Shaolei Wang (2018):
Risk Assessment for Human-Robot Collaboration in an automated warehouse scenario.
In: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) 1,
pp. 743–751,
doi:10.1109/ETFA.2018.8502466.
Alex Krizhevsky & Geoffrey Hinton (2009):
Learning multiple layers of features from tiny images.
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár & C. Lawrence Zitnick (2014):
Microsoft COCO: Common Objects in Context.
In: David Fleet, Tomas Pajdla, Bernt Schiele & Tinne Tuytelaars: Computer Vision – ECCV 2014.
Springer International Publishing,
Cham,
pp. 740–755,
doi:10.1007/978-3-319-10602-1_48.
Alberto Marchisio, Muhammad Abdullah Hanif, Faiq Khalid, George Plastiras, Christos Kyrkou, Theocharis Theocharides & Muhammad Shafique (2019):
Deep learning for edge computing: Current trends, cross-layer optimizations, and open research challenges.
In: 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).
IEEE,
pp. 553–559,
doi:10.1109/ISVLSI.2019.00105.
Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina & Muhammad Shafique (2018):
Prunet: Class-blind pruning method for deep neural networks.
In: 2018 International Joint Conference on Neural Networks (IJCNN).
IEEE,
pp. 1–8,
doi:10.1109/IJCNN.2018.8489764.
Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato & Sameer Singh (2020):
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems.
IEEE Access 8,
pp. 212177–212193,
doi:10.1109/ACCESS.2020.3039714.
Yoshitomo Matsubara & Marco Levorato (2020):
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks.
CoRR abs/2007.15818,
doi:10.48550/arXiv.2007.15818.
ArXiv:2007.15818.
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila & Jan Kautz (2016):
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning.
CoRR abs/1611.06440,
doi:10.48550/arXiv.1611.06440.
ArXiv:1611.06440.
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga & Adam Lerer (2017):
Automatic differentiation in pytorch.
Naigong Yu, Panna Jiao & Yuling Zheng (2015):
Handwritten digits recognition base on improved LeNet5.
In: The 27th Chinese Control and Decision Conference (2015 CCDC).
IEEE,
pp. 4871–4875,
doi:10.1109/CCDC.2015.7162796.
eptcs@eptcs.org