Adding a teaching “assistant”: improving the quality of pseudo-labels for semi-supervised object detection

This paper focuses on semi-supervised object detection (SS-OD) for its tolerance to small amounts of training samples, which is common in real-world applications. Pseudo-label-based approaches have been the mainstream for SS-OD. In this paper, we first show the impact of accurate pseudo-labeling and...

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Bibliographic Details
Main Authors: Fabián Fallas-Moya, Amir Sadovnik, Quan Zhou, Konstantinos Georgiou, Hairong Qi
Format: Article
Language:English
Published: Instituto Tecnológico de Costa Rica 2025-04-01
Series:Tecnología en Marcha
Subjects:
Online Access:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/7166
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