FSVM: A Few-Shot Threat Detection Method for X-ray Security Images
In recent years, automatic detection of threats in X-ray baggage has become important in security inspection. However, the training of threat detectors often requires extensive, well-annotated images, which are hard to procure, especially for rare contraband items. In this paper, a few-shot SVM-cons...
Main Authors: | Cheng Fang, Jiayue Liu, Ping Han, Mingrui Chen, Dayu Liao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/8/4069 |
Similar Items
-
Multi-Similarity Enhancement Network for Few-Shot Segmentation
by: Hao Chen, et al.
Published: (2023-01-01) -
PCNet: Leveraging Prototype Complementarity to Improve Prototype Affinity for Few-Shot Segmentation
by: Jing-Yu Wang, et al.
Published: (2023-12-01) -
How Realistic Is Threat Image Projection for X-ray Baggage Screening?
by: Robin Riz à Porta, et al.
Published: (2022-03-01) -
Multilevel Features-Guided Network for Few-Shot Segmentation
by: Chenjing Xin, et al.
Published: (2022-10-01) -
Filtering Specialized Change in a Few-Shot Setting
by: Martin Hermann, et al.
Published: (2023-01-01)