Do ImageNet Classifiers Generalize to ImageNet
作者： Benjamin Recht , Vaishaal Shankar , Ludwig Schmidt , Rebecca Roelofs
DOI:
关键词:
摘要: We build new test sets for the CIFAR-10 and ImageNet datasets. Both benchmarks have been the focus of intense research for almost a decade, raising the danger of overfitting to …
arxiv.org
harvard.edu参考文章(52)
Benjamin Yao, Xiong Yang, Song-Chun Zhu, Introduction to a large-scale general purpose ground truth database: methodology, annotation tool and benchmarks energy minimization methods in computer vision and pattern recognition. pp. 169- 183 ,(2007) , 10.1007/978-3-540-74198-5_14
Jia Deng, Large scale visual recognition Princeton, NJ : Princeton University. ,(2012)
J. Ponce, T. L. Berg, M. Everingham, D. A. Forsyth, M. Hebert, S. Lazebnik, M. Marszalek, C. Schmid, B. C. Russell, A. Torralba, C. K. I. Williams, J. Zhang, A. Zisserman, Dataset Issues in Object Recognition Toward Category-Level Object Recognition. ,vol. 4170, pp. 29- 48 ,(2006) , 10.1007/11957959_2
Florent Perronnin, Jorge Sánchez, Thomas Mensink, Improving the fisher kernel for large-scale image classification european conference on computer vision. ,vol. 6314, pp. 143- 156 ,(2010) , 10.1007/978-3-642-15561-1_11
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification international conference on computer vision. pp. 1026- 1034 ,(2015) , 10.1109/ICCV.2015.123
Karen Simonyan, Andrew Zisserman, Very Deep Convolutional Networks for Large-Scale Image Recognition computer vision and pattern recognition. ,(2014)
Avrim Blum, Moritz Hardt, The Ladder: A Reliable Leaderboard for Machine Learning Competitions international conference on machine learning. ,vol. 37, pp. 1006- 1014 ,(2015)
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
Antonio Torralba, Alexei A. Efros, Unbiased look at dataset bias computer vision and pattern recognition. pp. 1521- 1528 ,(2011) , 10.1109/CVPR.2011.5995347