Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles

30 October 2019

Papers citing "Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles"

16 / 16 papers shown

Title
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 113 13,005 0 07 Feb 2018
Data Distillation: Towards Omni-Supervised Learning Ilija Radosavovic Piotr Dollár Ross B. Girshick Georgia Gkioxari Kaiming He 58 416 0 12 Dec 2017
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation Xiaohang Zhan Ziwei Liu Ping Luo Xiaoou Tang Chen Change Loy SSL 40 37 0 02 Dec 2017
Checkpoint Ensembles: Ensemble Methods from a Single Training Process Hugh Chen Scott M. Lundberg Su-In Lee UQCV 32 61 0 09 Oct 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 148 8,425 0 17 Jun 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation Alberto Garcia-Garcia Sergio Orts Sergiu Oprea Victor Villena-Martinez Jose Garcia-Rodriguez 3DV SSeg 87 1,274 0 22 Apr 2017
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 110 938 0 01 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 791 14,454 0 07 Oct 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 159 2,543 0 07 Oct 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 616 11,540 0 06 Apr 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation Anna Khoreva Rodrigo Benenson J. Hosang Matthias Hein Bernt Schiele WSOD VLM ISeg 66 744 0 24 Mar 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 198 19,448 0 09 Mar 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation George Papandreou Liang-Chieh Chen Kevin Patrick Murphy Alan Yuille SSeg 82 916 0 09 Feb 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.0K 39,383 0 01 Sep 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 117 4,999 0 21 Dec 2013
Identifying Mislabeled Training Data C. Brodley M. Friedl 67 968 0 01 Jun 2011