Cascade-RCNN是一种多级检测框架，通过串联多个检测器逐步提升检测精度。它的核心思想是：使用不同IoU阈值的检测器进行级联 ...

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With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

The company said it is working with FAA and the NTSB on the investigation. A United Airlines flight diverted to Salt Lake City last week after an object struck the plane's windshield at 36,000 feet, ...

1 Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan, China 2 School of Information Engineering, Southwest University of Science and Technology, ...

Abstract: 3D object detection, leveraging depth information to deliver spatial attributes of targets including location, orientation, and size, is advancing rapidly in autonomous driving and robotics.

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Abstract: Object detector with region proposal networks such as Fast/Faster R-CNN [1, 2] have shown the state-of-the art performance on several benchmarks. However, they have limited success for ...