Oct 17, 2023 · The improved algorithm proposed in this paper has a higher accuracy rate when performing pose estimation in crowded scenes.
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We propose the DetPoseNet, an end-to-end multi-human detection and pose estimation framework in a unified three-stage network. Our method consists of a coarse- ...
Apr 5, 2024 · This paper proposes a real-time HPE model called based on the YOLOv8 framework. Specifically, we have improved the backbone and neck of the YOLOv8x-pose real- ...
AlphaPose is an accurate multi-person pose estimator, which is the first open-source system that achieves 70+ mAP (75 mAP) on COCO dataset and 80+ mAP (82.1 mAP) ...
Mar 11, 2024 · YOLO can be adapted for pose estimation tasks by modifying its architecture to predict key points or landmarks representing different parts of the human body.
Dec 4, 2023 · Pose Estimation is a computer vision technique to predict and track the location of a person or object. List of use cases and architectures.
Nov 8, 2023 · YOLO-NAS Pose is not just an iteration; it's a redefinition of what's possible in pose estimation. This model is poised to revolutionize various industries.
The new YOLO-NAS-POSE delivers state-of-the-art (SOTA) performance with the unparalleled accuracy-speed performance, outperforming other models such as YOLOv8- ...
Missing: Improved Crowd
This study proposes a direct regression-based method to estimate the 2D human pose from a single image. The authors name this network YOLO-Rlepose.
Missing: Crowd | Show results with:Crowd
Nov 7, 2023 · YOLO-NAS Pose represents a paradigm shift in pose estimation by elegantly combining person detection and pose estimation into a single, efficient process.