Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

6 March 2017

Papers citing "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results"

37 / 237 papers shown

Title
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren Raymond A. Yeh A. Schwing 20 95 0 02 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 57 6,643 0 13 Jun 2020
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation Yingwei Pan Ting Yao Yehao Li Chong-Wah Ngo Tao Mei 25 72 0 11 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World Zhun Zhong Linchao Zhu Zhiming Luo Shaozi Li Yi Yang N. Sebe VLM CLL 22 113 0 12 Apr 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation Yanchao Yang Stefano Soatto OOD 22 882 0 11 Apr 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 10 62 0 25 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 250 656 0 23 Mar 2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation Yangtao Zheng Di Huang Songtao Liu Yunhong Wang ObjD 158 198 0 23 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali C´eline Hudelot Myriam Tami 26 707 0 19 Mar 2020
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data Yichun Shi Anil K. Jain CVBM 43 1 0 17 Mar 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan F. Khan V. Balasubramanian ObjD CLL VLM 172 98 0 17 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher S. Hoi ObjD NoLa 50 28 0 03 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 34 3,464 0 21 Jan 2020
Proposal Learning for Semi-Supervised Object Detection Peng Tang Chetan Ramaiah Yan Wang Ran Xu Caiming Xiong 23 100 0 15 Jan 2020
SESS: Self-Ensembling Semi-Supervised 3D Object Detection Na Zhao Tat-Seng Chua Gim Hee Lee 3DPC 14 125 0 26 Dec 2019
Unsupervised Scene Adaptation with Memory Regularization in vivo Zhedong Zheng Yi Yang CLL 11 117 0 24 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 16 41 0 20 Dec 2019
Where is the Bottleneck of Adversarial Learning with Unlabeled Data? Jingfeng Zhang Bo Han Gang Niu Tongliang Liu Masashi Sugiyama 8 6 0 20 Nov 2019
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning Fuxun Yu Di Wang Yinpeng Chen Nikolaos Karianakis Tong Shen Pei Yu Dimitrios Lymberopoulos Sidi Lu Weisong Shi Xiang Chen 20 33 0 17 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 31 667 0 16 Oct 2019
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction Wenxuan Zhou Hongtao Lin Bill Yuchen Lin Ziqi Wang Junyi Du Leonardo Neves Xiang Ren NAI 11 54 0 05 Sep 2019
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification Lei Qi Lei Wang Jing Huo Yinghuan Shi Yang Gao 13 66 0 15 Aug 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 20 4 0 03 Jun 2019
Local Label Propagation for Large-Scale Semi-Supervised Learning Chengxu Zhuang Xuehao Ding Divyanshu Murli Daniel L. K. Yamins SSL 19 11 0 28 May 2019
Semi-Supervised Learning by Augmented Distribution Alignment Qin Wang Wen Li Luc Van Gool 11 68 0 20 May 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 29 178 0 27 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Juho Kannala Arno Solin Yoshua Bengio David Lopez-Paz 16 756 0 09 Mar 2019
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model Wenhui Cui Yanling Liu Yuxing Li Meng-Hao Guo Yiming Li Xiuli Li Tianle Wang Xiangzhu Zeng Chuyang Ye 16 174 0 04 Mar 2019
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models Pengyuan Ren Jianmin Li 25 9 0 20 Nov 2018
Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System Sang Jun Lee Sang Woo Kim Wookyong Kwon Gyogwon Koo J. Yun 19 9 0 09 Oct 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 6 333 0 22 Sep 2018
Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas Daniel Coelho De Castro Loic Le Folgoc Ian Walker Ryutaro Tanno Daniel Rueckert Ben Glocker A. Criminisi A. Nori SSL 23 89 0 07 Jun 2018
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang 19 242 0 01 Nov 2017
Self-ensembling for visual domain adaptation Geoffrey French Michal Mackiewicz M. Fisher 11 44 0 16 Jun 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities Guo-Jun Qi GAN 19 349 0 23 Jan 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015