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Both Objects and Relationships Matter: Cross Coupled Transformer for Railway Scene Perception

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Year: 2025
Type: article
Source: IEEE Transactions on Intelligent Transportation Systems
DOI: 10.1109/tits.2025.3563352
Authors: Dingyuan Bai, Baoqing Guo, Tao Ruan, Xingfang Zhou, Tao Sun, Hongwei Wang, Zhipeng Wang
Institution: Beijing Jiaotong University
Language: English

Topic: Advanced Neural Network Applications
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, State Key Laboratory of Advanced Metallurgy, National Key Research and Development Program of China
Awards: 基于小样本深度学习的高速铁路入侵目标识别方法研究, G3467075038, G5073223486, G914337406
OpenAlex ID: W4410114743
FWCI: 3.283
Cites: 31
Cited by: 9
Related to: 10
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