Human Pose Estimation

What is Human Pose Estimation? Human pose estimation is a popular computer vision task with more than 20 years of history. This domain focuses on localizing human body joints (e.g., knees and wrists), also known as key points, in images or videos. The entire human body can be represented with three different types of approaches: …

Effortless Efficiency with trainYOLO — In computer vision, accurate human pose labeling plays a crucial role in a wide range of applications, from action recognition to sports analytics. While there are already some pre-trained models available, like for example Ultralytics’ YOLOv8, they often require some finetuning on the task at hand. However, the process of…

Adding Channel Attention, Originated From SENet, to HRNet — A-HRNet: Attention Based High Resolution Network for Human Pose Estimation, A-HRNet, by University of Massachusetts Lowell, 2020 TransAI (Sik-Ho Tsang @ Medium) Human Pose Estimation 2014 … 2018 [PersonLab] 2019 [HRNet / HRNetV1] 2021 [HRNetV2, HRNetV2p] [Lite-HRNet] ==== My Other Paper Readings Are Also Over Here ==== Channel Attention, originated…

Proposes Light Weight HRNet Using Conditional Channel Weighting (CCW) — Lite-HRNet: A Lightweight High-Resolution Network, Lite-HRNet, by Huazhong University of Science and Technology, and Microsoft, 2021 CVPR, Over 130 Citations (Sik-Ho Tsang @ Medium) Human Pose Estimation 2014 … 2018 [PersonLab] 2019 [HRNet / HRNetV1] 2021 [HRNetV2, HRNetV2p] Semantic Segmentation 2014 … 2022 [PVTv2] [YOLACT++] ==== My Other Paper Readings Are Also Over Here…

HRNetV2, HRNetV2p, Improves HRNetV1 — Deep High-Resolution Representation Learning for Visual Recognition, HRNetV2, HRNetV2p, by Microsoft Research, University of Science and Technology of China, Huazhong University of Science and Technology, Peking University, South China University of Technology, Griffith University, and Microsoft, Redmond 2021 TPAMI, Over 1900 Citations (Sik-Ho Tsang @ Medium) High-Resolution Representations for Labeling Pixels and Regions…

HRNet / HRNetV1, Maintains High Resolution & Fusion Across Different Resolutions. — Deep High-Resolution Representation Learning for Human Pose Estimation, HRNet, HRNetV1, by University of Science and Technology of China, and Microsoft Research Asia, 2019 CVPR, Over 2900 Citations (Sik-Ho Tsang @ Medium) Human Pose Estimation 2014–2015 [DeepPose] [Tompson NIPS’14] [Tompson CVPR’15] 2016 [CPM] [FCGN] [IEF] [DeepCut & DeeperCut] [Newell ECCV’16 & Newell…

What is Human Pose Estimation? Human Pose Estimation (HPE) is a task in computer vision that focuses on identifying the position of a human body in a specific scene. Most of the HPE methods are based on recording an RGB image with the optical sensor to detect body parts and the overall pose. …

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Contributors : Zoya Jamadar, Vivek Verma , Aishwarya Pujari, Sahil Zawar, Abhishek Yeole Human Pose Estimation is a computer vision task of detecting and estimating the positions of human joints in an image or a video. …