DA-FSOD: A Novel Data Augmentation Scheme for Few-Shot Object Detection

DA-FSOD: A Novel Data Augmentation Scheme for Few-Shot Object Detection

Deep learning techniques continue to be used in various applications in recent years. However, when it is difficult to obtain adequate training samples, the performance of the depth model will degrade. Although few-shot learning and data enhancement techniques can relieve this dilemma, the diversity...

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מידע ביבליוגרפי
Main Authors: Jian Yao, Tianyun Shi, Xiaoping Che, Jie Yao, Liuyi Wu
פורמט: Article
שפה:English
יצא לאור: IEEE 2023-01-01
סדרה:IEEE Access
נושאים:
Few-shot learning
object detection
data augmentation
semantic information
image processing
גישה מקוונת:https://ieeexplore.ieee.org/document/10227279/

אינטרנט

https://ieeexplore.ieee.org/document/10227279/

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