An Active Semi-Supervised Learning for Object Detection

The rapid progress in deep learning technology has rendered extensive annotated datasets indispensable for augmenting algorithmic performance. However, annotating datasets requires a significant amount of resources and manpower. To address the high costs of annotating object detection tasks, we pres...

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Bibliographic Details

Published in:	2023 International Conference on Culture-Oriented Science and Technology (CoST) pp. 257 - 261
Main Authors:	Zhao, Yu, Yang, Yingyun, Chen, Sijin
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11.10.2023
Subjects:	active learning strategy Adaptation models Costs Deep learning Focal loss Object detection Resource management Semantics semi-supervised learning algorithm Semisupervised learning SimOTA
Online Access:	Get full text
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