Webb4 nov. 2024 · Human pose estimation (HPE) task is to detect and localize body keypoints (elbows, wrists, knees, etc.) of the input person images. It is a fundamental yet challenging task in the field of computer vision and is widely adopted for action recognition, pose tracking, human-computer interaction, etc. Fig. 1. Webb7 mars 2024 · Human pose estimation (HPE) is a process of identifying and locating human keypoints from given images or videos. In the past decades, how to realize the automatic understanding of human pose has always been a hot research issue in the field of computer vision.

Simple and Lightweight Human Pose Estimation DeepAI

WebbHuman pose estimation networks rely heavily on pre-trained models. The experiments in [36, 29] have shown that the performance of the network initialized with a pre-trained model is better than the network trained from scratch. However, the pre-trained model of SimpleBaseline [] can no longer be utilized since the network architecture has been … WebbSimple and Lightwight Human Pose Estimation Introduction On COCO keypoints valid dataset, if with_gcb module achieves 66.5 of mAP, else 64.4 of mAp Main Results … imbibe bottle house \u0026 taproom maple valley

Ghost shuffle lightweight pose network with effective feature ...

Webb27 jan. 2024 · For human pose estimation, a larger receptive field could learn more human body structure information, ... Simple and lightweight human pose estimation. arXiv preprint arXiv:1911.10346. Chu X, Yang W, Ouyang W, Ma C, Yuille AL, Wang X (2024) Multi-context attention for human pose estimation. In: ... WebbSpecifically, ViTPose employs plain and non-hierarchical vision transformers as backbones to extract features for a given person instance and a lightweight decoder for pose estimation. It can be scaled up from 100M to 1B parameters by taking the advantages of the scalable model capacity and high parallelism of transformers, setting a new Pareto ... imbibe crossword clue sun