Not long ago, spotting an AI-generated image felt almost easy. The internet circulated a familiar checklist: count the fingers, look ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

We could never implement a full detection system during school arrival with the personnel and equipment requirements.

Abstract: Detecting small objects and managing occlusions remain persistent challenges in object detection tasks, particularly in complex scenarios with diverse environments or densely packed scenes.

InstructSAM is a training-free framework for Instruction-Oriented Object Counting, Detection, and Segmentation (InstructCDS). We construct EarthInstruct, an InstructCDS benchmark for remote sensing.

Effective training helps workers understand gas hazards, respond to alarms, and reduce exposure to toxic, flammable, and oxygen-deficient atmospheres. In many industrial environments, gas detection is ...

TSA Canine Training Center at Joint Base San Antonio-Lackland, Texas. (Photo: TSA via LinkedIn) Ever wonder where Transportation Security Administration (TSA) dogs learn the skills that make them one ...

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 ...

Visual surveys by autonomous underwater vehicles (AUVs) and other underwater platforms provide a valuable method for analysing and understanding the benthic environment. Scientists can measure the ...

While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical "common sense" to operate in dynamic, real-world environments. This has limited the ...

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 ...

I'm working on detecting both players and balls in a football dataset. I've decided to use separate YOLOv12 models for each class. I'm currently using YOLOv12s for both classes. The performance for ...