Learning Object Detectors With Semi-Annotated Weak Labels

For alleviating the human labor associated with annotating the training data for learning object detectors, recent research has focused on semi-supervised object detection (SSOD) and weakly supervised object detection (WSOD) approaches. In SSOD, instead of annotating all the instances in the whole t...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2019-12, Vol.29 (12), p.3622-3635
Hauptverfasser:	Zhang, Dingwen, Han, Junwei, Guo, Guangyu, Zhao, Long
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Computer vision Curricula Detectors Generators Image detection image processing Knowledge management Labels Labor Learning learning (artificial intelligence) Object detection Object recognition Optimization Semantics Sensors Tags Training Training data Visualization
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