The invention discloses a quick real-time video target segmentation method based on bimodal interaction and state feedback, which comprises the following steps of: 1, model training: training a network model by utilizing a server, optimizing network parameters by reducing a network loss function until a network converges, obtaining a network weight of a quick real-time video target segmentation method based on bimodal interaction and state feedback; and 2, model inference: segmenting a target given by a first frame in a new video sequence by using the network weight obtained in the training stage. Through bimodal feature interaction, learning of target appearance representation is enhanced, interference of targets with similar appearance features and similar colors in a background is weakened, and the system can accurately segment the targets in a complex environment; and the effective capacity of the memory is fixed through state feedback, and the characteristics in the memory are adaptively updated, so that the system can effectively utilize the target information in the historical frame, and relatively high inference speed and memory utilization efficiency are achieved.
Quick real-time video target segmentation method based on bimodal interaction and state feedback