Pose Estimation

Sapiens: Foundation for Human Vision Models by Meta

The article primarily discusses capabilities Sapiens a foundational human vision model by meta, achieves state-of-the-art performance in tasks like 2D pose estimation, body-part segmentation, normal and depth estimation.

3D Computer Vision, Computer Vision, Deep Learning, Generative AI, SpatialAI-Depth

Introducing YOLO-NAS Pose: A Leap in Pose Estimation Technology

Unveiling a significant breakthrough in computer vision, Deci introduces YOLO-NAS Pose, the latest evolution in Pose Estimation technology. Building on the foundations of the acclaimed YOLO-NAS, this advanced model stands

Pose Estimation, YOLO

Object Keypoint Similarity in Keypoint Detection

In the constantly evolving field of computer vision, understanding the precise structure and pose of objects is essential. Whether it’s detecting a specific object in a cluttered scene or analyzing

keypoint detection, Keypoint Estimation, Similarity Measure

CenterNet: Objects as Points – Anchor Free Object Detection Explained

CenterNet: Object as Points is one of the milestones in the anchor-free (anchorless) object detection algorithm. Anchor-free object detection is more generalizable in other computer vision tasks, e.g., pose estimation,

Beginners, CenterNet, Object Detection, Pose Estimation, Tensorflow

Human Pose Estimation using Keypoint RCNN in PyTorch

Human Pose Estimation is an important research area in the field of Computer Vision. It deals with estimating unique points on the human body, also called keypoints. In this blog