Abstract: Foundation models have significantly reduced the need for task-specific training, while also enhancing generaliz-ability. However, state-of-the-art 6D pose estimators either require further ...

Abstract: Due to constraints from imaging devices, the most effective method for estimating the pose of space target RGB images is to establish a 2-D–3-D correspondence and then use the ...

1 Cranbrook School, Bloomfield Hills, MI, USA. 2 Massachusetts Institute of Technology, Cambridge, MA, USA. Human pose estimation has shown increasing potential in sports analytics, particularly for ...

Republicans wrestle with Trump administration positions that seem to contradict their beliefs on gun rights, states’ rights and limited use of federal power. By Richard Fausset Representative Randy ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov ...

A high-performance attendance system using Next.js with and ML-server using Flask, RetinaFace for face detection and ArcFace for recognition, achieving 95%+ accuracy. Deployed on Azure with Prometheus ...

Lumen – Asistente IA Empático y Multimodal (rostro y voz) en tiempo real. Potenciado por Llama 3.1 (Groq), Deepgram y Edge-TTS. A high-performance attendance system using Next.js with and ML-server ...

Introduction: Human pose estimation is a critical challenge in computer vision, with significant implications for robotics, augmented reality, and biomedical research. Current advancements in pose ...

Recent breakthroughs in marker-less pose-estimation have driven a significant transformation in computer-vision approaches. Despite the emergence of state-of-the-art keypoint-detection algorithms, the ...