As drug organizations’ methods for hiding drugs on large ships grow more sophisticated, detection dogs undergo repeated ...

Three methods of detecting submerged object based on Brillouin scattering, high resolution scanning F-P interferometer, edge ...

Abstract: In the field of computer vision, object detection in low-light scenarios remains an unresolved challenge. Traditional object-detection algorithms often encounter significant performance ...

According to Rotter and his colleagues, their fingerprint matrix method is a versatile and universal technique that could be ...

Existing Incremental Object Detection (IOD) methods partially alleviate catastrophic forgetting when incrementally detecting new objects in real-world scenarios. However, many of these methods rely on ...

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 ...

Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to ...

Introduction: Infrared (IR) and visible (VI) image fusion can provide richer texture details for subsequent object detection tasks. Conversely, object detection can offer semantic information about ...

Abstract: Object detection in remote sensing images faces numerous challenges, to address the unique characteristics of greenhouses, this paper designs a rotational object detection model aimed at ...