Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification

1 November 2021

Papers citing "Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification"

35 / 35 papers shown

Title
Humble Teachers Teach Better Students for Semi-Supervised Object Detection Yihe Tang Weifeng Chen Yijun Luo Yuting Zhang 70 184 0 19 Jun 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Qiang-feng Zhou Chaohui Yu Zhibin Wang Qi Qian Hao Li ObjD 59 197 0 21 Mar 2021
Unbiased Teacher for Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Zijian He Chia-Wen Kuo Kan Chen Peizhao Zhang Bichen Wu Z. Kira Peter Vajda 106 489 0 18 Feb 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 318 521 0 15 Jan 2021
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection He Wang Yezhen Cong Or Litany Yue Gao Leonidas Guibas 3DPC 80 123 0 08 Dec 2020
Interpolation-based semi-supervised learning for object detection Jisoo Jeong Vikas Verma Minsung Hyun Arno Solin Nojun Kwak 77 73 0 03 Jun 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 97 499 0 10 May 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection Dong Wang Yuan Zhang Kexin Zhang Liwei Wang 123 119 0 20 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali C´eline Hudelot Myriam Tami 129 729 0 19 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 236 505 0 08 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
Proposal Learning for Semi-Supervised Object Detection Peng Tang Chetan Ramaiah Yan Wang Ran Xu Caiming Xiong 79 101 0 15 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 553 42,639 0 03 Dec 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark Kai-xiang Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong ... Jingdong Wang Jianping Shi Wanli Ouyang Chen Change Loy Dahua Lin VOS 177 2,883 0 17 Jun 2019
Prime Sample Attention in Object Detection Yuhang Cao Kai-xiang Chen Chen Change Loy Dahua Lin ObjD 74 202 0 09 Apr 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 93 182 0 27 Mar 2019
Acquisition of Localization Confidence for Accurate Object Detection Borui Jiang Ruixuan Luo Jiayuan Mao Tete Xiao Yuning Jiang ObjD 63 852 0 30 Jul 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 123 2,082 0 18 Apr 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 197 923 0 28 Feb 2018
Data Distillation: Towards Omni-Supervised Learning Ilija Radosavovic Piotr Dollár Ross B. Girshick Georgia Gkioxari Kaiming He 87 419 0 12 Dec 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 128 1,829 0 16 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 153 2,739 0 13 Apr 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 335 1,273 0 06 Mar 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 488 22,158 0 09 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,847 0 05 Dec 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 351 4,636 0 10 Nov 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 189 2,567 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 249 29,879 0 08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 729 37,033 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 860 9,353 0 06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 533 62,409 0 04 Jun 2015
Fast R-CNN Ross B. Girshick ObjD 312 25,087 0 30 Apr 2015
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 434 43,832 0 01 May 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 291 26,223 0 11 Nov 2013