NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation

5 August 2023

Jianfeng Wang

Daniela Massiceti

Xiaolin Hu

Vladimir Pavlovic

Thomas Lukasiewicz

UQCV

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Papers citing "NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation"

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Title
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation Zhen Zhao Lihe Yang Sifan Long Jimin Pi Luping Zhou Jingdong Wang 106 77 0 09 Dec 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 162 24 0 01 Sep 2022
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation Jianfeng Wang Thomas Lukasiewicz BDL 48 30 0 18 Jun 2022
Semi-supervised Semantic Segmentation with Error Localization Network Donghyeon Kwon Suha Kwak 78 94 0 05 Apr 2022
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation Dayan Guan Jiaxing Huang Aoran Xiao Shijian Lu 79 43 0 18 Mar 2022
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation Yuyuan Liu Yu Tian Yuanhong Chen Fengbei Liu Vasileios Belagiannis G. Carneiro 90 188 0 25 Nov 2021
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation Yinghuan Shi Jian Zhang T. Ling Jiwen Lu Yefeng Zheng Qian Yu Lei Qi Yang Gao UQCV 72 150 0 17 Oct 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning Hanzhe Hu Fangyun Wei Han Hu Qiwei Ye J. Cui Liwei Wang 71 161 0 11 Oct 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation Yuanyi Zhong Bodi Yuan Hong Wu Zhiqiang Yuan Jian Peng Yu-Xiong Wang 96 173 0 20 Aug 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 89 315 0 09 Jun 2021
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision Xiaokang Chen Yuhui Yuan Gang Zeng Jingdong Wang 103 786 0 02 Jun 2021
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training Islam Nassar Samitha Herath Ehsan Abbasnejad Wray Buntine Gholamreza Haffari VLM 62 56 0 12 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 320 521 0 15 Jan 2021
The Gaussian Neural Process W. Bruinsma James Requeima Andrew Y. K. Foong Jonathan Gordon Richard Turner BDL 74 29 0 10 Jan 2021
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization Junnan Li Caiming Xiong Guosheng Lin SSL 84 264 0 23 Nov 2020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation Yuliang Zou Zizhao Zhang Han Zhang Chun-Liang Li Xiao Bian Jia-Bin Huang Tomas Pfister 88 299 0 19 Oct 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 345 671 0 23 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali C´eline Hudelot Myriam Tami 133 729 0 19 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 163 3,578 0 21 Jan 2020
Convolutional Conditional Neural Processes Jonathan Gordon W. Bruinsma Andrew Y. K. Foong James Requeima Yann Dubois Richard Turner BDL 88 168 0 29 Oct 2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation Lequan Yu Shujun Wang Xuelong Li Chi-Wing Fu Pheng-Ann Heng UQCV 95 856 0 16 Jul 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 65 77 0 19 Jun 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 106 442 0 17 Jan 2019
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 88 706 0 04 Jul 2018
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,721 0 15 Mar 2017
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 273 18,284 0 02 Jun 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 1.1K 11,654 0 06 Apr 2016