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Contrastive Mean Teacher for Domain Adaptive Object Detectors
Shengcao Cao
, Dhiraj Joshi
, Liang Yan Gui
,
Yu Xiong Wang
Electrical and Computer Engineering
National Center for Supercomputing Applications (NCSA)
Siebel School of Computing and Data Science
Research output
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Chapter in Book/Report/Conference proceeding
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Keyphrases
Domain Adaptive
100%
Object Detector
100%
Mean-teacher
100%
Pseudo Label
57%
Target Domain
42%
Teacher Self
42%
Self-training
28%
Contrastive Learning
28%
Real-world Application
14%
Teacher-led
14%
Cityscape
14%
Object-level
14%
Learning Signals
14%
Source Domain
14%
Label Noise
14%
Unsupervised Domain Adaptation
14%
Domain Gap
14%
Self-training Method
14%
Domain Adaptive Object Detection
14%
Computer Science
Object Detector
100%
Contrastive Learning
100%
World Application
50%
New-State
50%
Object Detection
50%
Unsupervised Domain Adaptation
50%