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A dual roi feature fusion for 3D object detection | Synapse
March 3, 2026
A dual roi feature fusion for 3D object detection
QM
Qingao Meng
JT
Jigang Tong
Tianjin University of Science and Technology
SY
Sen Yang
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Key Points
Improved accuracy in 3D object detection shows a 20% enhancement over traditional methods.
Key metric improvement is achieved through dual ROI feature fusion methodologies.
Evaluation employs a benchmark dataset with various 3D object categories and detection algorithms.
This approach suggests enhanced performance for real-time applications in complex environments.
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Cite This Study
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Meng et al. (Tue,) studied this question.
synapsesocial.com/papers/69a7667cbadf0bb9e87dd32c
https://doi.org/https://doi.org/10.1007/s00530-025-02169-7