Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

These models, they're stupid. But they have a lot of data, and they have a lot of processing. And therefore they look much ...

Object detection, particularly open-vocabulary object detection, plays a crucial role in Earth sciences, such as environmental monitoring, natural disaster assessment, and land-use planning. However, ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

Accurate 3D object detection in point clouds is crucial for autonomous vehicles ... We present Trans-LGS, a Transformer-based local graph structure. It employs a Graph Neural Network (GNN) and ...

WEDNESDAY, March 19, 2025 (HealthDay News) -- A graph neural network using data from the Multicenter Epilepsy Lesion ...

To overcome these limitations, we propose GDRIVE, a novel framework tailored for robust object detection in autonomous driving contexts. GDRIVE employs a graph-driven domain adaptation strategy that ...

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator ...

The three graphs in the first row show the detection results of ... feature maps from different convolutional layers were fused using the concept of multiscale object detection. Ensemble learning was ...