Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

12 August 2020

Zhanghan Ke

Papers citing "Guided Collaborative Training for Pixel-wise Semi-Supervised Learning"

41 / 41 papers shown

Title
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response Hongruixuan Chen Jian Song Olivier Dietrich Clifford Broni-bediako Weihao Xuan ... Yimin Wei J. Xia Cuiling Lan Konrad Schindler Naoto Yokoya 193 6 0 10 Jan 2025
Browsing without Third-Party Cookies: What Do You See? Maxwell Lin Shihan Lin Helen Wu Karen Wang Xiaowei Yang BDL 216 0 0 14 Oct 2024
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery Wanli Ma Oktay Karakuş Paul L. Rosin 173 1 0 22 Nov 2023
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Zhanghan Ke Daoye Wang Qiong Yan Jimmy S. J. Ren Rynson W. H. Lau 37 215 0 03 Sep 2019
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency Sudhanshu Mittal Maxim Tatarchenko Thomas Brox SSL 66 377 0 15 Aug 2019
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning Phi Vu Tran SSL 26 16 0 25 Jun 2019
Semi-Supervised Learning by Augmented Distribution Alignment Qin Wang Wen Li Luc Van Gool 57 70 0 20 May 2019
S4L: Self-Supervised Semi-Supervised Learning Xiaohua Zhai Avital Oliver Alexander Kolesnikov Lucas Beyer SSL VLM 103 792 0 09 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 140 3,026 0 06 May 2019
Real Image Denoising with Feature Attention Saeed Anwar Nick Barnes 63 506 0 16 Apr 2019
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference Jungbeom Lee Eunji Kim Sungmin Lee Jangho Lee Sungroh Yoon 64 421 0 27 Feb 2019
Semi-Supervised Learning for Face Sketch Synthesis in the Wild Chaofeng Chen Wen Liu Xiao Tan Kwan-Yee K. Wong CVBM 45 35 0 12 Dec 2018
Universal Semi-Supervised Semantic Segmentation Tarun Kalluri G. Varma Manmohan Chandraker C. V. Jawahar 59 96 0 26 Nov 2018
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale Alina Kuznetsova H. Rom N. Alldrin J. Uijlings Ivan Krasin ... S. Popov Matteo Malloci Alexander Kolesnikov Tom Duerig V. Ferrari ObjD VLM 96 1,348 0 02 Nov 2018
Toward Convolutional Blind Denoising of Real Photographs Shi Guo Zifei Yan Peng Sun W. Zuo Lei Zhang 86 911 0 12 Jul 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 246 244 0 14 Jun 2018
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 278 1,184 0 04 May 2018
Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao Wei Shen Zhishuai Zhang Bo Wang Alan Yuille 55 450 0 15 Mar 2018
Adversarial Learning for Semi-Supervised Semantic Segmentation Wei-Chih Hung Yi-Hsuan Tsai Yan-Ting Liou Yen-Yu Lin Ming-Hsuan Yang GAN SSeg 107 552 0 22 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 430 13,121 0 07 Feb 2018
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang 60 242 0 01 Nov 2017
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising Peng Sun W. Zuo Lei Zhang 125 2,123 0 11 Oct 2017
Adversarial Dropout for Supervised and Semi-supervised Learning Sungrae Park Jun-Keon Park Su-Jin Shin Il-Chul Moon GAN 60 174 0 12 Jul 2017
Deep Bilateral Learning for Real-Time Image Enhancement Michael Gharbi Jiawen Chen Jonathan T. Barron Samuel W. Hasinoff F. Durand 3DH 58 733 0 10 Jul 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 45 483 0 27 May 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 146 2,733 0 13 Apr 2017
Deep Image Matting N. Xu Brian L. Price Scott D. Cohen Thomas Huang 56 451 0 10 Mar 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 79 454 0 07 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 323 1,274 0 06 Mar 2017
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 329 4,573 0 13 Nov 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 181 2,555 0 07 Oct 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 239 18,232 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 735 37,846 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks Jost Tobias Springenberg GAN 85 746 0 19 Nov 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 91 1,372 0 09 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 137 2,193 0 10 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,638 0 01 May 2014