# Human Pose Estimation

ViTPose++ is a vision Transformer-based foundational model for human pose estimation, achieving an outstanding performance of 81.1 AP on the MS COCO keypoint test set.

ViTPose++ is a vision Transformer-based foundation model for human pose estimation, achieving an outstanding performance of 81.1 AP on the MS COCO keypoint test set.

ViTPose++ is a vision Transformer-based human pose estimation model, achieving outstanding performance of 81.1 AP on the MS COCO keypoint detection benchmark.

ViTPose is a vision Transformer-based human pose estimation model that achieves an outstanding performance of 81.1 AP on the MS COCO keypoint detection benchmark with a simple design.

ViTPose is a human pose estimation model based on Vision Transformer, achieving outstanding performance on benchmarks like MS COCO through simple architectural design.

A vision Transformer-based human pose estimation model achieving an outstanding performance of 81.1 AP on the MS COCO keypoint test set

ViTPose is a human pose estimation model based on Vision Transformer, achieving 81.1 AP accuracy on the MS COCO keypoint test set, with advantages such as model simplicity, scalable size, and flexible training.

ViTPose is a baseline model for human pose estimation based on plain vision transformers, achieving high-performance keypoint detection with a simple architecture

This model is used to detect keypoints in images or videos, suitable for tasks such as human pose estimation and facial landmark detection.