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Semi-Supervised Object Detection with Object-wise Contrastive Learning
  and Regression Uncertainty

Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty

6 December 2022
H. Choi
Zhixiang Chen
Xuepeng Shi
Tae-Kyun Kim
ArXivPDFHTML

Papers citing "Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty"

33 / 33 papers shown
Title
Active Teacher for Semi-Supervised Object Detection
Active Teacher for Semi-Supervised Object Detection
Peng Mi
Jianghang Lin
Yiyi Zhou
Yunhang Shen
Gen Luo
Xiaoshuai Sun
Liujuan Cao
Rongrong Fu
Qiang Xu
Rongrong Ji
95
64
0
15 Mar 2023
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free
  and Anchor-based Detectors
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
Yen-Cheng Liu
Chih-Yao Ma
Z. Kira
32
104
0
19 Jun 2022
Label Matching Semi-Supervised Object Detection
Label Matching Semi-Supervised Object Detection
Binbin Chen
Weijie Chen
Shicai Yang
Yunyi Xuan
Mingli Song
Di Xie
Shiliang Pu
Mingli Song
Yueting Zhuang
62
76
0
14 Jun 2022
Dense Learning based Semi-Supervised Object Detection
Dense Learning based Semi-Supervised Object Detection
Binghui Chen
Pengyu Li
Xiang Chen
Biao Wang
Lei Zhang
Xia Hua
ObjD
62
64
0
15 Apr 2022
Scale-Equivalent Distillation for Semi-Supervised Object Detection
Scale-Equivalent Distillation for Semi-Supervised Object Detection
Qiushan Guo
Yao Mu
Jianyu Chen
Tianqi Wang
Yizhou Yu
Ping Luo
80
28
0
23 Mar 2022
Class-Aware Contrastive Semi-Supervised Learning
Class-Aware Contrastive Semi-Supervised Learning
Fan Yang
Kai Wu
Shuyi Zhang
Guannan Jiang
Yong Liu
Feng Zheng
Wei Zhang
Chengjie Wang
Long Zeng
50
99
0
04 Mar 2022
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object
  Detection
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
Jongmok Kim
JooYoung Jang
Seunghyeon Seo
Jisoo Jeong
Jongkeun Na
Nojun Kwak
44
41
0
22 Nov 2021
Combating Noise: Semi-supervised Learning by Region Uncertainty
  Quantification
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Zhenyu Wang
Yali Li
Ye Guo
Shengjin Wang
NoLa
39
28
0
01 Nov 2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud
  Semantic Segmentation
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Li Jiang
Shaoshuai Shi
Zhuotao Tian
Xin Lai
Shu Liu
Chi-Wing Fu
Jiaya Jia
SSL
3DPC
166
117
0
15 Oct 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing
  Self-Training
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
Fangyuan Zhang
Tianxiang Pan
Bin Wang
54
55
0
11 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
68
181
0
19 Jun 2021
End-to-End Semi-Supervised Object Detection with Soft Teacher
End-to-End Semi-Supervised Object Detection with Soft Teacher
Mengde Xu
Zheng Zhang
Han Hu
Jianfeng Wang
Lijuan Wang
Fangyun Wei
X. Bai
Zicheng Liu
63
495
0
16 Jun 2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection
Rethinking Pseudo Labels for Semi-Supervised Object Detection
Hengduo Li
Zuxuan Wu
Abhinav Shrivastava
Larry S. Davis
49
79
0
01 Jun 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
154
1,862
0
05 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
56
196
0
21 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
103
484
0
18 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
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
311
519
0
15 Jan 2021
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object
  Detection
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
He Wang
Yezhen Cong
Or Litany
Yue Gao
Leonidas Guibas
3DPC
72
122
0
08 Dec 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
363
6,797
0
13 Jun 2020
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
78
497
0
10 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
145
4,542
0
23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
358
18,752
0
13 Feb 2020
Proposal Learning for Semi-Supervised Object Detection
Proposal Learning for Semi-Supervised Object Detection
Peng Tang
Chetan Ramaiah
Yan Wang
Ran Xu
Caiming Xiong
66
101
0
15 Jan 2020
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization
  Uncertainty for Autonomous Driving
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
Jiwoong Choi
Dayoung Chun
Hyun Kim
Hyuk-Jae Lee
71
399
0
09 Apr 2019
Bounding Box Regression with Uncertainty for Accurate Object Detection
Bounding Box Regression with Uncertainty for Accurate Object Detection
Yihui He
Chenchen Zhu
Jianren Wang
Marios Savvides
Xinming Zhang
ObjD
74
468
0
23 Sep 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
50
852
0
30 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
309
10,284
0
10 Jul 2018
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
352
4,705
0
15 Mar 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
466
22,102
0
09 Dec 2016
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
AIMat
ObjD
499
62,270
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
301
25,051
0
30 Apr 2015
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
43,638
0
01 May 2014
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