A Novel Faster RCNN Model Based on Multi-scale Feature Fusion and Shape Priori for Dense Vehicle Detection

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION

Sensing and Imaging Pub Date : 2023-06-09 DOI:10.1007/s11220-023-00425-6

Yamin Li

引用次数: 0

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一种基于多尺度特征融合和形状先验的快速RCNN密集车辆检测模型

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来源期刊

Sensing and Imaging INSTRUMENTS & INSTRUMENTATION-

CiteScore

5.00

自引率

0.00%

发文量

期刊介绍： Sensing and Imaging: An International Journal publishes peer-reviewed theoretical and experimental papers in print and online covering sensing and imaging techniques, systems, networks, and applications in engineering, science and medicine. The journal scope is broad and multidisciplinary, covering subsurface and surface sensing, and other sensing areas. Subsurface and surface sensing involves detection, identification and classification of objects, structures and matter, respectively, under and at surfaces.