Target detection and attitude estimation method based on data cross-modal transfer learning

The invention relates to the technical field of computer vision, discloses a target detection and attitude estimation method based on data cross-modal transfer learning, designs a domain classification and network model gradient negative optimization module, and summarizes a domain transfer method with an optimal effect, namely an adversarial domain classifier transfer learning unit. According to the invention, the attitude angle task head is improved, so that the network module carries out attitude angle estimation on the target in the detection frame on the basis of sharing the backbone feature extraction network, systematic functions of target detection and motion attitude estimation are completed on the basis of saving calculation overhead, and the system performance is improved. And meanwhile, the attitude estimation module can filter more unnecessary background features on the basis of the detection module, so that the accuracy of the module is improved. And an attitude angle estimation task is converte