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Cycle Self-Training for Semi-Supervised Object Detection with
  Distribution Consistency Reweighting

Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting

12 July 2022
Hao Liu
Bin Chen
Bo Wang
Chunpeng Wu
Feng Dai
Peng Wu
ArXivPDFHTML

Papers citing "Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting"

5 / 5 papers shown
Title
Semi-supervised Cell Recognition under Point Supervision
Semi-supervised Cell Recognition under Point Supervision
Zhongyi Shui
Yizhi Zhao
S. Zheng
Yunlong Zhang
Honglin Li
Shichuan Zhang
Xiaoxuan Yu
Chenglu Zhu
Lin Yang
25
1
0
14 Jun 2023
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
255
863
0
15 Oct 2021
Revisiting the Sibling Head in Object Detector
Revisiting the Sibling Head in Object Detector
Guanglu Song
Yu Liu
Xiaogang Wang
ObjD
181
348
0
17 Mar 2020
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
270
1,275
0
06 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
298
39,217
0
01 Sep 2014
1