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2003.01285
Cited By
Towards Noise-resistant Object Detection with Noisy Annotations
3 March 2020
Junnan Li
Caiming Xiong
R. Socher
Guosheng Lin
ObjD
NoLa
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Papers citing
"Towards Noise-resistant Object Detection with Noisy Annotations"
39 / 39 papers shown
Title
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
David Tschirschwitz
Volker Rodehorst
81
1
0
14 Sep 2024
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
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?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
195
1,950
0
06 Jun 2019
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
Pengfei Chen
B. Liao
Guangyong Chen
Shengyu Zhang
NoLa
67
387
0
13 May 2019
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
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
Kun Yi
Jianxin Wu
NoLa
68
417
0
19 Mar 2019
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
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
Borui Jiang
Ruixuan Luo
Jiayuan Mao
Tete Xiao
Yuning Jiang
ObjD
55
852
0
30 Jul 2018
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
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
Daiki Tanaka
Daiki Ikami
T. Yamasaki
Kiyoharu Aizawa
NoLa
74
711
0
30 Mar 2018
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
146
1,426
0
24 Mar 2018
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
Ksenia Konyushkova
J. Uijlings
Christoph H. Lampert
V. Ferrari
AAML
VLM
89
43
0
21 Dec 2017
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
Kuang-Huei Lee
Xiaodong He
Lei Zhang
Linjun Yang
NoLa
66
456
0
20 Nov 2017
Revisiting knowledge transfer for training object class detectors
J. Uijlings
S. Popov
V. Ferrari
VLM
ObjD
64
71
0
21 Aug 2017
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
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
Arash Vahdat
NoLa
92
298
0
31 May 2017
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
Antti Tarvainen
Harri Valpola
OOD
MoMe
332
1,274
0
06 Mar 2017
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
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
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
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
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
VLM
ObjD
49
138
0
26 Feb 2016
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
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
520
62,294
0
04 Jun 2015
Fast R-CNN
Ross B. Girshick
ObjD
306
25,059
0
30 Apr 2015
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning
R. G. Cinbis
Jakob Verbeek
Cordelia Schmid
WSOD
SSL
66
430
0
03 Mar 2015
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
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
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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