نتائج البحث

MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection

• Authors : Brorsson, Erik; Svensson, Lennart; Bengtsson, Kristofer

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Multispectral Pedestrian Detection with Sparsely Annotated Label

• Authors : Lee, Chan; Shin, Seungho; Park, Gyeong-Moon

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Revisiting Misalignment in Multispectral Pedestrian Detection: A Language-Driven Approach for Cross-modal Alignment Fusion

• Authors : Kim, Taeheon; Chung, Sangyun; Yu, Youngjoon

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Real-Time Pedestrian Detection on IoT Edge Devices: A Lightweight Deep Learning Approach

• Authors : Alfikri, Muhammad Dany; Kaliski, Rafael

Subjects: Computer Science - Artificial Intelligence; Computer Science - Computer Vision and Pattern Recognition; Computer Science - Networking and Internet Architecture

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A Survey of Deep Learning Approaches for Pedestrian Detection in Autonomous Systems

• Authors : Majdi Sukkar; Rajendrasinh Jadeja; Madhu Shukla

Subjects: Artificial intelligence; autonomous vehicle; computer vision

• Source: IEEE Access, Vol 13, Pp 3994-4007 (2025)

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Hybrid Attention for Robust RGB-T Pedestrian Detection in Real-World Conditions

• Authors : Rathinam, Arunkumar; Pauly, Leo; Shabayek, Abd El Rahman

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Artificial Intelligence

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MSCD-YOLO: A Lightweight Dense Pedestrian Detection Model with Finer-Grained Feature Information Interaction.

• Authors : Liu, Qiang¹ (AUTHOR) ; Li, Zhongmin¹ (AUTHOR) ; Zhang, Lei¹ (AUTHOR)

• Source: Sensors (14248220). Jan2025, Vol. 25 Issue 2, p438. 18p.

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CCW-YOLO: A Modified YOLOv5s Network for Pedestrian Detection in Complex Traffic Scenes.

• Authors : Wang, Zhaodi¹ (AUTHOR) ; Yang, Shuqiang^1,2 (AUTHOR) ; Qin, Huafeng³ (AUTHOR)

• Source: Information (2078-2489). Dec2024, Vol. 15 Issue 12, p762. 21p.

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基于 YOLOv4的行人检测算法.

• Authors : 王洪元¹ ; 齐鹏宇¹; 唐郢¹

• Source: Journal of Changzhou University (Natural Science Edition) / Changzhou Daxue Xuebao (Ziran Kexue Ban). Sep2024, Vol. 36 Issue 5, p52-60. 9p.

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A lightweight YOLOv5-FFM model for occlusion pedestrian detection

• Authors : Luo, Xiangjie; Shao, Bo; Cai, Zhihao

Subjects: Computer Science - Computer Vision and Pattern Recognition

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