AureNet: A Real-Time Arbitrary-oriented and Ship-based Object Detection

• Published in: 2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) pp. 647 - 652
• Main Authors: Liu, Mingyue, Chen, Yingyang, Ding, Daorui
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.02.2023
• Subjects: AureNet Retinanet; Feature extraction; Focal Loss; Object detection; Real-time systems; Robustness; Sensors; Transportation; Web and internet services; Yolox-HSV

In recent years, due to the bursting computing power, neural-network-based object detection algorithms are emerging in large numbers, which is very promising in monitoring the transportation, especially in remoting sensing of the sea where it is relatively easier to distinguish the background and fo...