Ultralytics YOLO26 delivers world-leading end-to-end, NMS-free performance for the fastest and simplest production deployment ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

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 ...

This branch contains the pytorch implementation of ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation. It obtains 81.1 AP on MS COCO Keypoint test-dev set. Using detection results ...

Objective: To evaluate the precision of a computer vision (CV) and augmented reality (AR) pipeline for orthodontic applications, specifically in direct bonding and temporary anchorage device (TAD) ...

Abstract: Human pose estimation constitutes a foundational task within the domain of computer vision, boasting diverse applications spanning from surveillance methodologies to healthcare paradigms.

Ultralytics Inc., a developer of computer vision models, today announced that it has raised $30 million in funding. Elephant VC led the Series A round with participation from SquareOne. Ultralytics ...

We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...