In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

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

Matrox Imaging offers Design Assistant and MIL libraries to help enable rapid development with flowchart-based programming ...

Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...

In this paper, we focus on generating more accurate constraints by excavating the intercorrelation between fully and weakly-supervised learning to improve the performance of object detection in RSIs.

Adaptive Modulation,Aggregation Module,COCO Dataset,Category Information,Classification Accuracy,Conditional Probability,Decoder Layer,Embedding Module,Few-shot ...

However, existing approaches still face two main challenges. First, they face accuracy drops when hands occlude the objects held, obscuring critical features required for pose estimation.

A team of researchers has developed a cost-effective, high-throughput technology for detecting nanoplastics and microplastics in the environment. These particles are pervasive, posing health and ...

A research team at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) has developed a new technique to ...

Can foundation models, combined with AI technology, improve SIEM systems while enhancing security efficiency between these ...