Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and ...

Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection" we also add our config in https://github.com/zcablii/LSKNet and ...

Temple University has implemented an artificial intelligence-based weapon detection system for events at its Liacouras Center. The Xtract One Smartway system uses AI sensor to find guns, knives and ...

Abstract: The lightweight model for salient object detection in optical remote sensing images (SOD-RSI) is a recent emerging topic. Due to the complexity of the task, recently published works have ...

Abstract: Object detection in conventional surveillance systems is typically constrained to predefined objects. Furthermore, the low resolution of the video often impairs the identifiability of these ...

Waiting is the hardest part. Especially in the case of testing for water or food contamination, which can take days or even a week in some cases for the results, leaving the possibility that people ...

The investigative minds at Debunked explain why, according to physics, heavy and light objects fall at the same speed. Military MRAP t-bones car in DC amid Trump's national guard deployment CBS anchor ...

DORAL, FLA. (WSVN) - The City of Doral has launched a new photo-enforced speed detection system in designated school zones. Officials said the system will help catch drivers who choose to drive above ...

Tiffany & Co. unveils new Time Objects: a black race car clock and a diamond-studded airplane clock The pieces expand the brand’s legacy of combining craftsmanship with inventive design Tiffany & Co.