AS-Faster-RCNN: An Improved Object Detection Algorithm for Airport Scene Based on Faster R-CNN

• Published in: IEEE access Vol. 13; pp. 36050 - 36064
• Main Authors: He, Zhige, He, Yuanqing
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Airport scene; Airports; Algorithms; Atmospheric modeling; CBAM; Classification algorithms; Convolution; DCN; Deep learning; Deformable models; Degradation; faster-RCNN; Feature extraction; Formability; Object detection; Object recognition; objection detection; Proposals; ResNet

Currently, the rapid development of the aviation industry has made the safety of the airport becomes more and more important. The most important part of this is the capability of discriminate the different type of objects correctly. However, the existing detection models have the problems of degrada...