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Survey of semi-supervised object detection

Survey of semi-supervised object detection


Semi-supervised Object Detection: A Survey on Recent Research and Progress

arXiv paper abstract https://arxiv.org/abs/2306.14106



In recent years, deep learning technology has been maturely applied in the field of object detection, and most algorithms tend to be supervised learning.


... Semi-supervised object detection (SSOD) ... learn information by using small amounts of labeled data and large amounts of unlabeled data.


... present a comprehensive and up-to-date survey on the SSOD approaches from five aspects.


... first briefly introduce several ways of data augmentation.


... dive the mainstream semi-supervised strategies into pseudo labels, consistent regularization, graph based and transfer learning based methods, and introduce some methods in challenging settings.


... present widely-used loss functions ... outline the common benchmark datasets and compare the accuracy among different representative approaches ...



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