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In this paper, an improved faster R-CNN method has been proposed. The proposed method has been evaluated using FLIR_ADAS dataset for both thermal and RGB images ...
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Nov 22, 2019 · Many recent methods are based on modifying the popular CNN-based object detectors to enhance the performance of detection results.
Vehicle Detection Based on an Imporved Faster R-CNN Method
www.researchgate.net › publication › 34...
In this paper, we present a novel method for vehicle detection based on the Faster R-CNN frame. We integrate MobileNet into Faster R-CNN structure.
The experiment results show that the accuracy of improved method is 96.83%, which is 3.86% higher than that of the original Faster R-CNN method. References.
Apr 21, 2024 · Wang et al. [10] proved that Faster R-CNN provides a good vehicle detection effect in low-altitude UAV-based images. Radovic et al. [11] ...
In this paper, we present a model based on Faster R–CNN with NAS optimization and feature enrichment to realize the effective detection of multi-scale vehicle ...
The vehicle recognition algorithm proposed in this paper is based on the improvement of Faster R-CNN, and the effectiveness of the method is verified by testing ...
Jul 30, 2023 · This research presents an enhanced framework depending on Faster R-CNN for rapid vehicle recognition which presents better accuracy and fast ...
The experimental validation results show that compared with the Faster R-CNN algorithm, the SCRA and Q-SPC methods have certain significance for improving ...
The proposed method works under the multi-task framework and integrates 2D object detection, 3D object detection, orientation estimation and key point detection ...