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...

Celý popis

Podrobná bibliografia

Vydané v:	2023 International Conference on Culture-Oriented Science and Technology (CoST) s. 257 - 261
Hlavní autori:	Zhao, Yu, Yang, Yingyun, Chen, Sijin
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 11.10.2023
Predmet:	active learning strategy Adaptation models Costs Deep learning Focal loss Object detection Resource management Semantics semi-supervised learning algorithm Semisupervised learning SimOTA
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!