Method for constructing voice-assisted audio-visual collaborative learning new target network model

The invention discloses a method for constructing a voice-assisted audio-visual collaborative learning new target network model. The method comprises the steps of S1-S11, the method is based on a traditional object recognition model and an image feature matching technology. The known object is accurately recognized through the initial object recognition model, if a new object appears, feature memory is conducted on the new object through the online learning model, and the initial object recognition model is updated in real time, so that the generalization ability of the model is higher, and the method is more suitable for application in a real scene. 本发明公开了一种语音辅助的视听协同学习新目标网络模型的构建方法，包括步骤S1-S11，本发明基于传统的对象识别模型和图像特征匹配技术，通过初始对象识别模型对已知对象进行精确识别，若出现新对象，则通过在线学习模型对新对象进行特征记忆，并实时更新初始对象识别模型，使模型的泛化能力更强，更加适用现实场景的应用。