Identification model training method and identification method for video target state

The invention discloses a video target state recognition model training method and a recognition method. The model training method comprises the following steps: inputting an image frame into a feature extraction module to obtain high-level features; performing up-sampling on the high-level features through a spatial reasoning module, performing comparison training on the high-level features and significance labels, calculating a first loss function, and enabling the first loss function to be converged to a preset degree through training; and sequentially inputting the high-level features into a ConvLSTM network, a full connection layer and a Softmax layer in a time reasoning module, then obtaining a prediction state of the current target, carrying out comparison training on the prediction state and a state label, calculating a second loss function, enabling the second loss function to be converged to a preset degree through training, and obtaining a video target state recognition model. The target state in t