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...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsmän: Jian Yao, Tianyun Shi, Xiaoping Che, Jie Yao, Liuyi Wu
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2023-01-01
Serie:IEEE Access
Ämnen:
Few-shot learning
object detection
data augmentation
semantic information
image processing
Länkar:https://ieeexplore.ieee.org/document/10227279/

Internet

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

Liknande verk