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Rethinking Pseudo Labels for Semi-Supervised Object Detection
v1v2 (latest)

Rethinking Pseudo Labels for Semi-Supervised Object Detection

1 June 2021
Hengduo Li
Zuxuan Wu
Abhinav Shrivastava
Larry S. Davis
ArXiv (abs)PDFHTML

Papers citing "Rethinking Pseudo Labels for Semi-Supervised Object Detection"

17 / 17 papers shown
Title
Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling
Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling
Bingjie Wu
Zitong Yu
Yiping Xie
Wei Liu
Chaoqi Luo
Yong Liu
Rick Siow Mong Goh
150
0
0
06 Feb 2025
Gradient-based Sampling for Class Imbalanced Semi-supervised Object
  Detection
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Jiaming Li
Xiangru Lin
Wei Zhang
Xiao Tan
Yingying Li
Junyu Han
Errui Ding
Jingdong Wang
Guanbin Li
87
8
0
22 Mar 2024
Revisiting Class Imbalance for End-to-end Semi-Supervised Object
  Detection
Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection
P. Kar
Vishal M. Chudasama
N. Onoe
Pankaj Wasnik
78
8
0
04 Jun 2023
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Yuhang Zang
Kaiyang Zhou
Chen Huang
Chen Change Loy
89
13
0
24 May 2023
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for
  Semi-Supervised Object Detection
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection
Liang Liu
Boshen Zhang
Jiangning Zhang
Wuhao Zhang
Zhenye Gan
Guanzhong Tian
Wenjie Zhu
Yabiao Wang
Chengjie Wang
56
28
0
16 Mar 2023
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D
  Object Detection
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection
Jingyu Li
Yanfeng Guo
Ji Hou
Dingkang Liang
82
14
0
09 Mar 2023
Learning Object-level Point Augmentor for Semi-supervised 3D Object
  Detection
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection
Cheng-Ju Ho
Chen-Hsuan Tai
Yi-Hsuan Tsai
Yen-Yu Lin
Ming-Hsuan Yang
3DPC
62
3
0
19 Dec 2022
Semi-Supervised Object Detection with Object-wise Contrastive Learning
  and Regression Uncertainty
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty
H. Choi
Zhixiang Chen
Xuepeng Shi
Tae-Kyun Kim
66
4
0
06 Dec 2022
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors
Zhen Xing
Hengduo Li
Zuxuan Wu
Yu-Gang Jiang
3DV
67
18
0
30 Sep 2022
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
Gang Li
Xiang Li
Yujie Wang
Yichao Wu
Ding Liang
Shanshan Zhang
66
26
0
12 Jul 2022
Cycle Self-Training for Semi-Supervised Object Detection with
  Distribution Consistency Reweighting
Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting
Hao Liu
Bin Chen
Bo Wang
Chunpeng Wu
Feng Dai
Peng Wu
53
8
0
12 Jul 2022
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning
  Framework for Monocular 3D Object Detection
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection
Lei Yang
Xinyu Zhang
Li-e Wang
Minghan Zhu
Chuan-Fang Zhang
Jun Li
97
31
0
10 Jul 2022
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
Hongyu Zhou
Zheng Ge
Songtao Liu
Weixin Mao
Zeming Li
Haiyan Yu
Jian‐Yuan Sun
106
92
0
06 Jul 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
81
65
0
15 Apr 2022
Omni-DETR: Omni-Supervised Object Detection with Transformers
Omni-DETR: Omni-Supervised Object Detection with Transformers
Pei Wang
Zhaowei Cai
Hao Yang
Gurumurthy Swaminathan
Nuno Vasconcelos
Bernt Schiele
Stefano Soatto
97
41
0
30 Mar 2022
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
Hazel Doughty
Cees G. M. Snoek
133
19
0
23 Mar 2022
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D
  Semi-Supervised Object Detection
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection
Jinhyung D. Park
Chenfeng Xu
Yiyang Zhou
Masayoshi Tomizuka
Wei Zhan
3DPC
76
22
0
17 Mar 2022
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