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Active Teacher for Semi-Supervised Object Detection

Active Teacher for Semi-Supervised Object Detection

15 March 2023
Peng Mi
Jianghang Lin
Yiyi Zhou
Yunhang Shen
Gen Luo
Xiaoshuai Sun
Liujuan Cao
Rongrong Fu
Qiang Xu
Rongrong Ji
ArXiv (abs)PDFHTMLGithub (84★)

Papers citing "Active Teacher for Semi-Supervised Object Detection"

41 / 41 papers shown
Title
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment
Wu Yun
Mengshi Qi
Fei Peng
Huadong Ma
84
1
0
29 Jul 2024
MCDAL: Maximum Classifier Discrepancy for Active Learning
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae-Won Cho
Dong-Jin Kim
Yunjae Jung
In So Kweon
68
46
0
23 Jul 2021
YOLOX: Exceeding YOLO Series in 2021
YOLOX: Exceeding YOLO Series in 2021
Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
ObjD
156
4,103
0
18 Jul 2021
Humble Teachers Teach Better Students for Semi-Supervised Object
  Detection
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Yihe Tang
Weifeng Chen
Yijun Luo
Yuting Zhang
70
183
0
19 Jun 2021
You Only Compress Once: Towards Effective and Elastic BERT Compression
  via Exploit-Explore Stochastic Nature Gradient
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient
Shaokun Zhang
Xiawu Zheng
Chenyi Yang
Yuchao Li
Yan Wang
Chia-Wen Lin
Mengdi Wang
Shen Li
Jun Yang
Rongrong Ji
MQ
77
22
0
04 Jun 2021
Multiple instance active learning for object detection
Multiple instance active learning for object detection
Tianning Yuan
Fang Wan
Mengying Fu
Jianzhuang Liu
Songcen Xu
Xiangyang Ji
QiXiang Ye
WSOD
89
124
0
06 Apr 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection
  Framework
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
Consistency-based Active Learning for Object Detection
Consistency-based Active Learning for Object Detection
Weiping Yu
Sijie Zhu
Taojiannan Yang
Chong Chen
ObjD
50
51
0
18 Mar 2021
Unbiased Teacher for Semi-Supervised Object Detection
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
105
489
0
18 Feb 2021
Interpolation-based semi-supervised learning for object detection
Interpolation-based semi-supervised learning for object detection
Jisoo Jeong
Vikas Verma
Minsung Hyun
Arno Solin
Nojun Kwak
74
73
0
03 Jun 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
92
499
0
10 May 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLMObjD
164
12,299
0
23 Apr 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
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
160
3,572
0
21 Jan 2020
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
97
684
0
21 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
315
2,392
0
11 Nov 2019
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan O. Arik
L. Davis
Tomas Pfister
206
200
0
16 Oct 2019
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution
  Pruning
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning
Xiawu Zheng
Chenyi Yang
Shaokun Zhang
Yan Wang
Baochang Zhang
Yongjian Wu
Yunsheng Wu
Ling Shao
Rongrong Ji
64
21
0
28 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
151
3,033
0
06 May 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
137
2,321
0
29 Apr 2019
Automatic adaptation of object detectors to new domains using
  self-training
Automatic adaptation of object detectors to new domains using self-training
Aruni RoyChowdhury
Prithvijit Chakrabarty
Ashish Singh
SouYoung Jin
Huaizu Jiang
Liangliang Cao
Erik Learned-Miller
VLMObjD
79
165
0
15 Apr 2019
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
128
21,482
0
08 Apr 2018
Towards Human-Machine Cooperation: Self-supervised Sample Mining for
  Object Detection
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection
Keze Wang
Xiaopeng Yan
Dongyu Zhang
Lei Zhang
Liang Lin
ObjD
107
102
0
27 Mar 2018
Collaborative Learning for Weakly Supervised Object Detection
Collaborative Learning for Weakly Supervised Object Detection
Jiajie Wang
Jiangchao Yao
Ya Zhang
Rui Zhang
WSOD
56
48
0
10 Feb 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
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
289
9,803
0
25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
127
3,774
0
15 Aug 2017
Multiple Instance Detection Network with Online Instance Classifier
  Refinement
Multiple Instance Detection Network with Online Instance Classifier Refinement
Peng Tang
Xinggang Wang
X. Bai
Wenyu Liu
WSOD
80
442
0
01 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
360
27,244
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
335
1,274
0
06 Mar 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
183
15,633
0
25 Dec 2016
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
483
22,143
0
09 Dec 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,567
0
07 Oct 2016
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
244
29,871
0
08 Dec 2015
Weakly Supervised Deep Detection Networks
Weakly Supervised Deep Detection Networks
Hakan Bilen
Andrea Vedaldi
WSOD
96
790
0
09 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
718
37,020
0
08 Jun 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
525
62,377
0
04 Jun 2015
Watch and Learn: Semi-Supervised Learning of Object Detectors from
  Videos
Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos
Ishan Misra
Abhinav Shrivastava
M. Hebert
70
123
0
21 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
309
25,081
0
30 Apr 2015
Learning with Pseudo-Ensembles
Learning with Pseudo-Ensembles
Philip Bachman
O. Alsharif
Doina Precup
89
602
0
16 Dec 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
424
43,814
0
01 May 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,217
0
11 Nov 2013
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