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Single-shot refinement neural network for object detection
Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, and Stan Z Li · 1908
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A survey on transfer learning
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The Caltech-UCSD Birds-200-2011 Dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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3d object representations for fine-grained categorization
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Transfer feature learning with joint distribution adaptation
Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, and S Yu Philip · 2013
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Fine-grained visual classification of aircraft
E. Rahtu M. Blaschko A. Vedaldi S. Maji, J. Kannala · 2013
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Fitnets: Hints for thin deep nets
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Very deep convolutional networks for large-scale image recognition
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Distilling the knowledge in a neural network
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Deep transfer metric learning
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Deep learning face attributes in the wild
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Deep residual learning for image recognition
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Learning transferrable knowledge for semantic segmentation with deep convolutional neural network
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2018
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Yin Cui, Yang Song, Chen Sun, Andrew Howard, and Serge Belongie · 2018
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Graph adaptive knowledge transfer for unsupervised domain adaptation
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Multi-task zipping via layer-wise neuron sharing
Xiaoxi He, Zimu Zhou, and Lothar Thiele · 2018
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Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2017
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Punda: Probabilistic unsupervised domain adaptation for knowledge transfer across visual categories
Behnam Gholami, Ognjen Rudovic, and Vladimir Pavlovic · 2017
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Kilian Q Weinberger, and Laurens van der Maaten · 2017
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Like what you like: Knowledge distill via neuron selectivity transfer
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Haoshuo Huang, Qixing Huang, and Philipp Krähenbühl · 2018
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Few sample knowledge distillation for efficient network compression
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Knowledge flow: Improve upon your teachers
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