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Proposal Learning for Semi-Supervised Object Detection

Proposal Learning for Semi-Supervised Object Detection

15 January 2020
Peng Tang
Chetan Ramaiah
Yan Wang
Ran Xu
Caiming Xiong
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Papers citing "Proposal Learning for Semi-Supervised Object Detection"

18 / 18 papers shown
Title
S$^3$AD: Semi-supervised Small Apple Detection in Orchard Environments
S3^33AD: Semi-supervised Small Apple Detection in Orchard Environments
Robert Johanson
Christian Wilms
Ole Johannsen
Simone Frintrop
22
3
0
08 Nov 2023
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
Yi-Syuan Liou
Tsung-Han Wu
Jia-Fong Yeh
Wen-Chin Chen
Winston H. Hsu
ObjD
11
0
0
29 Mar 2023
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
Bowen Xu
Mingtao Chen
Wenlong Guan
Lulu Hu
15
37
0
15 Feb 2023
Active Learning Strategies for Weakly-supervised Object Detection
Active Learning Strategies for Weakly-supervised Object Detection
Huy V. Vo
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Jean Ponce
14
19
0
25 Jul 2022
Semi-supervised Human Pose Estimation in Art-historical Images
Semi-supervised Human Pose Estimation in Art-historical Images
Matthias Springstein
Stefanie Schneider
C. Althaus
Ralph Ewerth
3DH
11
14
0
06 Jul 2022
Multi-Class 3D Object Detection with Single-Class Supervision
Multi-Class 3D Object Detection with Single-Class Supervision
Mao Ye
Chenxi Liu
Maoqing Yao
Weiyue Wang
Zhaoqi Leng
C. Qi
Drago Anguelov
3DPC
30
1
0
11 May 2022
Semi-Supervised Training to Improve Player and Ball Detection in Soccer
Semi-Supervised Training to Improve Player and Ball Detection in Soccer
Renaud Vandeghen
A. Cioppa
Marc Van Droogenbroeck
43
27
0
14 Apr 2022
CrossRectify: Leveraging Disagreement for Semi-supervised Object
  Detection
CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection
Cheng Ma
Xingjia Pan
QiXiang Ye
Fan Tang
Weiming Dong
Changsheng Xu
35
14
0
26 Jan 2022
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
34
177
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-Wei Zhang
Han Hu
Jianfeng Wang
Lijuan Wang
Fangyun Wei
X. Bai
Zicheng Liu
11
487
0
16 Jun 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
11
195
0
21 Mar 2021
Consistency-based Active Learning for Object Detection
Consistency-based Active Learning for Object Detection
Weiping Yu
Sijie Zhu
Taojiannan Yang
C. L. P. Chen
ObjD
15
50
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
29
472
0
18 Feb 2021
Unsupervised Object Detection with LiDAR Clues
Unsupervised Object Detection with LiDAR Clues
Haofei Tian
Yuntao Chen
Jifeng Dai
Zhaoxiang Zhang
Xizhou Zhu
3DPC
18
28
0
25 Nov 2020
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Cong Chen
Shouyang Dong
Ye Tian
K. Cao
Li Liu
Yuanhao Guo
28
28
0
13 Jul 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
16
492
0
10 May 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
194
243
0
14 Jun 2018
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
OOD
MoMe
244
1,275
0
06 Mar 2017
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