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Towards Noise-resistant Object Detection with Noisy Annotations

Towards Noise-resistant Object Detection with Noisy Annotations

3 March 2020
Junnan Li
Caiming Xiong
R. Socher
Guosheng Lin
    ObjDNoLa
ArXiv (abs)PDFHTML

Papers citing "Towards Noise-resistant Object Detection with Noisy Annotations"

39 / 39 papers shown
Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
C. Kim
Sangwoo Moon
Jihwan Moon
Dongyeon Woo
Gunhee Kim
NoLa
165
0
0
25 Feb 2025
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
David Tschirschwitz
Volker Rodehorst
81
1
0
14 Sep 2024
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Junnan Li
R. Socher
Guosheng Lin
NoLa
105
1,030
0
18 Feb 2020
MMDetection: Open MMLab Detection Toolbox and Benchmark
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
156
2,868
0
17 Jun 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
195
1,950
0
06 Jun 2019
Training Object Detectors With Noisy Data
Training Object Detectors With Noisy Data
Simon Chadwick
Paul Newman
NoLa
54
38
0
17 May 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy
  Labels
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Pengfei Chen
B. Liao
Guangyong Chen
Shengyu Zhang
NoLa
67
387
0
13 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
145
3,029
0
06 May 2019
Unsupervised Label Noise Modeling and Loss Correction
Unsupervised Label Noise Modeling and Loss Correction
Eric Arazo Sanchez
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
84
612
0
25 Apr 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Kun Yi
Jianxin Wu
NoLa
68
417
0
19 Mar 2019
How does Disagreement Help Generalization against Label Corruption?
How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu
Bo Han
Jiangchao Yao
Gang Niu
Ivor W. Tsang
Masashi Sugiyama
NoLa
65
783
0
14 Jan 2019
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object
  Detection
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection
J. Gao
Jiang Wang
Shengyang Dai
Li Li
Ram Nevatia
ObjD
75
94
0
01 Dec 2018
Acquisition of Localization Confidence for Accurate Object Detection
Acquisition of Localization Confidence for Accurate Object Detection
Borui Jiang
Ruixuan Luo
Jiayuan Mao
Tete Xiao
Yuning Jiang
ObjD
55
852
0
30 Jul 2018
Dimensionality-Driven Learning with Noisy Labels
Dimensionality-Driven Learning with Noisy Labels
Xingjun Ma
Yisen Wang
Michael E. Houle
Shuo Zhou
S. Erfani
Shutao Xia
S. Wijewickrema
James Bailey
NoLa
76
433
0
07 Jun 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely
  Noisy Labels
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
113
2,069
0
18 Apr 2018
Joint Optimization Framework for Learning with Noisy Labels
Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka
Daiki Ikami
T. Yamasaki
Kiyoharu Aizawa
NoLa
74
711
0
30 Mar 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OODNoLa
146
1,426
0
24 Mar 2018
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised
  Object Detection
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
Yuxing Tang
Josiah Wang
Xiaofang Wang
Boyang Gao
Emmanuel Dellandrea
R. Gaizauskas
Liming Chen
ObjD
67
115
0
09 Jan 2018
Learning Intelligent Dialogs for Bounding Box Annotation
Learning Intelligent Dialogs for Bounding Box Annotation
Ksenia Konyushkova
J. Uijlings
Christoph H. Lampert
V. Ferrari
AAMLVLM
89
43
0
21 Dec 2017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
  on Corrupted Labels
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li Li
Li Fei-Fei
NoLa
104
1,453
0
14 Dec 2017
CleanNet: Transfer Learning for Scalable Image Classifier Training with
  Label Noise
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
Kuang-Huei Lee
Xiaodong He
Lei Zhang
Linjun Yang
NoLa
66
456
0
20 Nov 2017
Revisiting knowledge transfer for training object class detectors
Revisiting knowledge transfer for training object class detectors
J. Uijlings
S. Popov
V. Ferrari
VLMObjD
64
71
0
21 Aug 2017
Extreme clicking for efficient object annotation
Extreme clicking for efficient object annotation
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
53
246
0
09 Aug 2017
A Closer Look at Memorization in Deep Networks
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
125
1,823
0
16 Jun 2017
Toward Robustness against Label Noise in Training Deep Discriminative
  Neural Networks
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
Arash Vahdat
NoLa
92
298
0
31 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,195
0
20 Mar 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OODMoMe
332
1,274
0
06 Mar 2017
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
163
1,141
0
23 Jan 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
136
479
0
06 Jan 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
477
22,108
0
09 Dec 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
342
4,629
0
10 Nov 2016
We don't need no bounding-boxes: Training object class detectors using
  only human verification
We don't need no bounding-boxes: Training object class detectors using only human verification
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
VLMObjD
49
138
0
26 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,294
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
306
25,059
0
30 Apr 2015
Weakly Supervised Object Localization with Multi-fold Multiple Instance
  Learning
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning
R. G. Cinbis
Jakob Verbeek
Cordelia Schmid
WSODSSL
66
430
0
03 Mar 2015
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Scott E. Reed
Honglak Lee
Dragomir Anguelov
Christian Szegedy
D. Erhan
Andrew Rabinovich
NoLa
113
1,022
0
20 Dec 2014
LSDA: Large Scale Detection Through Adaptation
LSDA: Large Scale Detection Through Adaptation
Judy Hoffman
S. Guadarrama
Eric Tzeng
Ronghang Hu
Jeff Donahue
Ross B. Girshick
Trevor Darrell
Kate Saenko
ObjD
97
334
0
18 Jul 2014
Microsoft COCO: Common Objects in Context
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
43,667
0
01 May 2014
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