The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world deployment ...

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To address these issues, this paper proposes a marine optical remote sensing object detection architecture based on transformer and dual path architecture (MOD-TD), aiming to improve the accuracy and ...

Trellix NDR uses a multi-layered detection architecture consisting of numerous network telemetry sources, advanced threat detection engines, analytics, GenAI, AI, machine learning algorithms ...

Over the recent years, there has been a growing interest in class-incremental 3D object detection based on point clouds. However, the current state-of-the-art (SOTA) methods still fall short of ...

Moreover, FLS images commonly contain underwater objects with different scales and weak feature information, which presents great challenges for sonar object detection. Figure 1. Example of a ...

W0409 20:57:16.497172 30680 deprecation.py:323] From D:\Anaconda\envs\tf\lib\site-packages\object_detection-0.1-py3.7.egg\object_detection\trainer.py:228: create_global_step (from ...

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.