Sony Group Corporation
TRAINING A MACHINE LEARNING-BASED MODEL FOR ACTION RECOGNITION

Abstract:

A device for training a first machine learning-based model (MLM) for action recognition implements a training method. According to the training method, the training device obtains training data that comprises time sequences of data samples, which represent predefined subjects that are performing predefined actions. The training device trains the first MLM based on the training data, to discriminate between the predefined actions and to be adversarial to discrimination between the predefined subjects by a second MLM, and trains the second MLM based on feature data that is extracted by the first MLM for the training data, to discriminate between the predefined subjects. Thereby, the first MLM is encouraged to extract feature data that is unrelated to individual subjects, which improves action recognition performance of the trained first MLM when encountering new subjects.