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255 results on '"Yonghong Song"'

68. Few-shot X-ray Prohibited-item Detection Based on Multi-scale Feature Fusion and Sample Balancing

Author

Qianwen Ni, Yonghong Song, and Yuanlin Zhang

Abstract

Few-Shot Learning (FSL) aims to tackle machine learning tasks with limited data and has garnered widespread attention. Previous research has demonstrated that few-shot object detection methods based on model fine-tuning yield strong performance. However, the fine-tuning-based few-shot object detection approach also has its drawbacks: (1) limited learning ability on complex datasets, (2) high variability of a few samples during the fine-tuning phase often resulting in unstable performance, and (3) poor generalization of the model due to under-utilization of the visual features of a few samples. In this paper, we focus on X-ray security inspection of prohibited items as our research context. Firstly, we propose a sample balancing module that differs from random sampling by dividing the sampling interval into IOU values for uniform sampling, which helps uncover highly valuable challenging samples. Secondly, we introduce a multi-scale feature fusion module that enhances multi-level features by utilizing the same depth of fused balanced semantic information. This approach addresses the high variability of a small number of samples, leading to more accurate localization. Our method performs well across multiple shot settings on the PASCAL VOC, COCO, and X-ray prohibited items datasets, such as UNICOMP, with an increase of 8.8% to 27.9% in UNICOMP, outperforming most state-of-the-art methods.

Published
2023
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80. Self-assembling ferrimagnetic fluorescent micelles for bioimaging guided efficient magnetic hyperthermia therapy

Author

Yonghong Song, Yueqiang Zhu, Kun Jiang, Xingyu Liu, Liang Dong, Dongdong Li, Sheng Chen, Hanye Xing, Xu Yan, Yang Lu, Xianzhu Yang, Junxia Wang, and Yunjun Xu

Subjects
Polymers, Quantum Dots, Nanoparticles, General Materials Science, Hyperthermia, Induced, Micelles
Abstract

Multifunctional magnet-fluorescent nanocomposites are widely applied in biomedical applications. Incorporating biocompatible quantum dots with highly ferrimagnetic magnetic nanoparticles into one nanoplatform for achieving efficient magnetic hyperthermia therapy (MHT) is very important. Herein, we reported an amphiphilic block copolymer with a flowable hydrophobic chain to encapsulate highly ferrimagnetic magnetic nanoparticles and ZnS/InP quantum dots

Published
2022

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