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
arXiv PDF paper https://arxiv.org/pdf/2306.14106.pdf
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 ...
Please like and share this post if you enjoyed it using the buttons at the bottom!
Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website
Comentarios