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MODEL TRAINING METHOD AND APPARATUS, ACTION RECOGNITION METHOD AND APPARATUS, AND DEVICE AND STORAGE MEDIUM

机译:模型训练方法和装置,动作识别方法和装置,以及装置和存储介质

摘要

An action recognition model training method and apparatus, an action training method and apparatus, and a device and a storage medium. The action recognition model training method comprises: acquiring a video image, action data, and action labels corresponding to the video image and the action data (S101); performing network training on a two-stream convolutional neural network on the basis of the video image and the corresponding action label, so as to obtain a network model and a prediction result (S102); training a classifier on the basis of the action data and the corresponding action label, so as to obtain a classification model and a classification result (S103); merging the network model and the classification model to obtain a local recognition model, and obtaining a local recognition result according to the prediction result and the classification result (S104); uploading the local recognition model and the local recognition result to perform joint learning, so as to obtain a learning parameter (S105); and receiving the learning parameter, and updating the local recognition model according to the learning parameter (S106). The present invention is used for improving the recognition accuracy of an action recognition model obtained by means of training.
机译:动作识别模型训练方法和装置,动作训练方法和装置,以及设备和存储介质。动作识别模型训练方法包括:获取与视频图像和动作数据相对应的视频图像,动作数据和动作标签(S101);基于视频图像和相应的动作标签在双流卷积神经网络上执行网络训练,以获得网络模型和预测结果(S102);基于动作数据和相应的动作标签训练分类器,以便获得分类模型和分类结果(S103);合并网络模型和分类模型以获得本地识别模型,并根据预测结果和分类结果获得本地识别结果(S104);上传本地识别模型和本地识别结果执行联合学习,以便获得学习参数(S105);并接收学习参数,并根据学习参数更新本地识别模型(S106)。本发明用于提高通过训练获得的动作识别模型的识别准确性。

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