A landmark head-to-head study finds that a YOLOv3 image detector outperforms point-cloud-native and modular machine learning ...

Umashanker Bandari's co-authored IEEE Xplore paper explores a context-aware deep learning framework for accurate, efficient, real-time multi-object detection in traffic surveillance, addressing ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

A DETR-CLIP study of 5,000 children’s drawings reported stronger detection and semantic performance than several baselines, ...

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...