Overview of two-stage object detection algorithms
Lixuan Du, Rongyu Zhang, Xiaotian Wang
Abstract
Abstract Nowadays, object detection has gradually become a quite popular field. From the traditional methods to the methods used at this stage, object detection technology has made great progress, and is still continuously developing and innovating. This paper reviews two-stage object detection algorithms used at this stage, explaining in detail the working principles of Faster R-CNN, R-FCN, FPN, and Casecade R-CNN and analyzing the similarities and differences between these four two-stage object detection algorithms. Then we used HSRC2016 ship dataset to perform experiments with Faster R-CNN, R-FCN, FPN, and Casecade R-CNN and compared the effectiveness of them with experimental results.
Topics & Concepts
Stage (stratigraphy)Computer scienceObject (grammar)Object detectionField (mathematics)Artificial intelligenceAlgorithmPattern recognition (psychology)MathematicsPaleontologyBiologyPure mathematicsAdvanced Neural Network ApplicationsMaritime Navigation and SafetyAnomaly Detection Techniques and Applications