Page 65 - 《武汉大学学报(信息科学版)》2025年第6期
P. 65
第 50 卷第 6 期 谢亚坤等:顾及小目标特征的无人机影像人员检测方法 1087
Wireless Sensors and Sensor Networks (WiS‑ mentation[J]. Geomatics and Information Science
NeT), San Antonio, USA, 2024. of Wuhan University, 2024, 49(5): 700-708.
[10] YANG Y, HAN X M, WANG K R, et al. NRPer‑ [20] HE X, ZHENG X L, HAO X Y, et al. Improving
son: A Non-Registered Multi-modal Benchmark Small Object Detection via Context-Aware and Fea‑
for Tiny Person Detection and Localization[J]. ture-Enhanced Plug-and-Play Modules[J]. Jour‑
Electronics, 2024, 13(9): 1697. nal of Real ‑ Time Image Processing, 2024, 21
[11] DALAL N, TRIGGS B. Histograms of Oriented (2): 44.
Gradients for Human Detection[C]//IEEE Com‑ [21] LI Z, WANG Y C, ZHANG Y X, et al. Context
puter Society Conference on Computer Vision and Feature Integration and Balanced Sampling Strategy
Pattern Recognition, San Diego, USA, 2005. for Small Weak Object Detection in Remote Sensing
[12] MAJI S , BERG A C , MALIK J. Classification Imagery[J]. IEEE Geoscience and Remote Sensing
Using Intersection Kernel Support Vector Machines Is Letters, 2024, 21: 6009105.
Efficient[C]//IEEE Conference on Computer Vision [22] CHE M L , WU Z H , WANG X W , et al. De‑
and Pattern Recognition, Anchorage, USA, 2008. signing Lightweight Small Object Detection Models
[13] REN S Q, HE K M, GIRSHICK R, et al. Faster Using Attention and Context[J]. Multimedia Tools
R-CNN: Towards Real-Time Object Detection and Applications, 2024, 83(4): 9523-9546.
with Region Proposal Networks[J]. IEEE Transac‑ [23] LI L, GAO S K, WU F F, et al. MBAN: Multi-
tions on Pattern Analysis and Machine Intelligence, branch Attention Network for Small Object Detec‑
2017, 39(6): 1137-1149. tion [J]. PeerJ Computer Science, 2024, 10:
[14] CAI Z W, VASCONCELOS N. Cascade R- e1965.
CNN: Delving into High Quality Object Detection [24] GAO Y X, WANG Y C, ZHANG Y X, et al.
[C]//IEEE Conference on Computer Vision and Feature Super-Resolution Fusion with Cross-Scale
Pattern Recognition, Salt Lake City, USA, 2018. Distillation for Small-Object Detection in Optical
[15] LIU W, ANGUELOV D, ERHAN D, et al. Remote Sensing Images[J]. IEEE Geoscience and
SSD : Single Shot MultiBox Detector[C]//Com‑ Remote Sensing Letters, 2024, 21: 6008105.
puter Vision − ECCV Workshop, Amsterdam, [25] HARIS M, SHAKHNAROVICH G, UKITA N.
The Netherlands, 2016. Task-Driven Super Resolution: Object Detection in
[16] REDMON J, DIVVALA S, GIRSHICK R, et al. Low-Resolution Images [C]//Neural Information
You Only Look Once: Unified, Real-Time Object Processing, Amsterdam, The Netherlands, 2021.
Detection[C]//IEEE Conference on Computer Vi‑ [26] TERVEN J, CÓRDOVA-ESPARZA D M,
sion and Pattern Recognition (CVPR), Las Vegas, ROMERO-GONZÁLEZ J A. A Comprehensive
USA, 2016. Review of YOLO Architectures in Computer Vi‑
[17] ZHANG H Y, CHEN E Y. Bi-AFN++CA: Bi- sion: From YOLOv1 to YOLOv8 and YOLO-NAS
Directional Adaptive Fusion Network Combining [J]. Machine Learning and Knowledge Extrac‑
Context Augmentation for Small Object Detection tion, 2023, 5(4): 1680-1716.
[J]. Applied Intelligence, 2024, 54(1): 614-628. [27] SUNKARA R, LUO T. No more Strided Convolu‑
[18] YANG H B, QIU S. A Novel Dynamic Contextual tions or Pooling: A New CNN Building Block for
Feature Fusion Model for Small Object Detection in Low-Resolution Images and Small Objects[C]//
Satellite Remote-Sensing Images[J]. Information, Machine Learning and Knowledge Discovery in Da‑
2024, 15(4): 230. tabases, Zurich, Switzerland, 2023.
[19] 黄丽, 龚志鹏, 刘凡凡, 等 . 图像跨尺度特征融合 [28] AKSHATHA K R, KARUNAKAR A K, SATISH
与数据增强的公交客流检测模型[J]. 武汉大学学 SHENOY B, et al. Manipal-UAV Person Detec‑
报(信息科学版), 2024, 49(5): 700-708. tion Dataset: A Step Towards Benchmarking Data‑
HUANG Li, GONG Zhipeng, LIU Fanfan, et al. set and Algorithms for Small Object Detection[J].
Bus Passenger Flow Detection Model Based on ISPRS Journal of Photogrammetry and Remote
Image Cross-Scale Feature Fusion and Data Aug‑ Sensing, 2023, 195: 77-89.

