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

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, ...

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 ...