Few-Shot Object Detection via Sample Processing

Few-Shot Object Detection via Sample Processing

Few-shot object detection (FSOD) eliminates the dependence on tremendous instances with manual annotations in conventional object detection. We deem that the scarcity of positive samples is the main reason that restricts the performance of FSOD detectors. In this paper, a novel FSOD model via sample...

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Bibliographic Details
Main Authors: Honghui Xu, Xinqing Wang, Faming Shao, Baoguo Duan, Peng Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Few-shot learning
image processing
machine learning
object detection
Online Access:https://ieeexplore.ieee.org/document/9354609/

Internet

https://ieeexplore.ieee.org/document/9354609/

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