Data Distillation: Towards Omni-Supervised Learning

作者: Georgia Gkioxari , Piotr Dollár , Kaiming He , Ross Girshick , Ilija Radosavovic

DOI:

关键词: Labeled dataComputer scienceObject detectionSupervised learningDistillationArtificial intelligenceMachine learning

摘要: … We resize the unlabeled image to a predefined set of scales (denoted by the … all experiments we view the generated data as complete, so the extra data are simply treated as if all …

参考文章(40)
Semi-Supervised Learning Advanced Methods in Sequence Analysis Lectures. pp. 221- 232 ,(2010) , 10.7551/MITPRESS/9780262033589.001.0001
Pierre Sermanet, Yann LeCun, David Eigen, Rob Fergus, Michael Mathieu, Xiang Zhang, OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks arXiv: Computer Vision and Pattern Recognition. ,(2013)
Christian Szegedy, Scott Reed, Dumitru Erhan, Dragomir Anguelov, Sergey Ioffe, Scalable, High-Quality Object Detection arXiv: Computer Vision and Pattern Recognition. ,(2014)
Karen Simonyan, Andrew Zisserman, Very Deep Convolutional Networks for Large-Scale Image Recognition computer vision and pattern recognition. ,(2014)
Yoshua Bengio, Samira Ebrahimi Kahou, Carlo Gatta, Adriana Romero, Antoine Chassang, Nicolas Ballas, FitNets: Hints for Thin Deep Nets arXiv: Learning. ,(2014)
Geoffrey Hinton, Oriol Vinyals, Jeff Dean, Distilling the Knowledge in a Neural Network arXiv: Machine Learning. ,(2015)
Spyros Gidaris, Nikos Komodakis, Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model international conference on computer vision. pp. 1134- 1142 ,(2015) , 10.1109/ICCV.2015.135
Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta, NEIL: Extracting Visual Knowledge from Web Data international conference on computer vision. pp. 1409- 1416 ,(2013) , 10.1109/ICCV.2013.178
Avrim Blum, Tom Mitchell, None, Combining labeled and unlabeled data with co-training conference on learning theory. pp. 92- 100 ,(1998) , 10.1145/279943.279962
David Yarowsky, Unsupervised word sense disambiguation rivaling supervised methods Proceedings of the 33rd annual meeting on Association for Computational Linguistics -. pp. 189- 196 ,(1995) , 10.3115/981658.981684