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cs.CV2024★ 7 cited
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage, Jay C. Rothenberger, Pavlos Andreadis +1
Deep neural models have achieved state of the art performance on a wide range of problems in computer science, especially in computer vision. However, deep neural networks often re…
cs.CV2023
Meta Co-Training: Two Views are Better than One
Jay C. Rothenberger, Dimitrios I. Diochnos
In many critical computer vision scenarios unlabeled data is plentiful, but labels are scarce and difficult to obtain. As a result, semi-supervised learning which leverages unlabel…