Scaling Object Detection by Transferring Classification Weights

作者: Federico Perazzi , Yap-Peng Tan , Zhe Lin , Jianming Zhang , Jason Kuen

DOI:

关键词: Normalization (statistics)Code (cryptography)GeneralizationSet (abstract data type)Pattern recognitionComputer scienceObject detectionScale (descriptive set theory)Artificial intelligenceObject (computer science)Feature (computer vision)

摘要: … We first introduce input and feature normalization schemes to curb the under-fitting during training of a vanilla WTN. We then propose autoencoder-WTN (AE-WTN) which uses …

参考文章(42)
Harri Valpola, Tapani Raiko, Antti Rasmus, Mikko Honkala, Mathias Berglund, Semi-supervised learning with Ladder networks neural information processing systems. ,vol. 28, pp. 3546- 3554 ,(2015)
Ross Girshick, Fast R-CNN international conference on computer vision. pp. 1440- 1448 ,(2015) , 10.1109/ICCV.2015.169
Christian Szegedy, Sergey Ioffe, Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift international conference on machine learning. ,vol. 1, pp. 448- 456 ,(2015)
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick, Microsoft COCO: Common Objects in Context Computer Vision – ECCV 2014. pp. 740- 755 ,(2014) , 10.1007/978-3-319-10602-1_48
Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars, Weakly supervised object detection with convex clustering computer vision and pattern recognition. pp. 1081- 1089 ,(2015) , 10.1109/CVPR.2015.7298711
Ramon Lopez de Mantaras, Eva Armengol, Machine learning from examples: inductive and lazy methods data and knowledge engineering. ,vol. 25, pp. 99- 123 ,(1998) , 10.1016/S0169-023X(97)00053-0
Ilya Sutskever, Geoffrey Hinton, Alex Krizhevsky, Ruslan Salakhutdinov, Nitish Srivastava, Dropout: a simple way to prevent neural networks from overfitting Journal of Machine Learning Research. ,vol. 15, pp. 1929- 1958 ,(2014)
Geoffrey E. Hinton, Richard S. Zemel, Autoencoders, Minimum Description Length and Helmholtz Free Energy neural information processing systems. ,vol. 6, pp. 3- 10 ,(1993)
Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik, Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation computer vision and pattern recognition. pp. 580- 587 ,(2014) , 10.1109/CVPR.2014.81
Kate Saenko, Eric S Tzeng, Judy Hoffman, Jeff Donahue, Sergio Guadarrama, Trevor Darrell, Ronghang Hu, Ross Girshick, LSDA: Large Scale Detection through Adaptation neural information processing systems. ,vol. 27, pp. 3536- 3544 ,(2014)