Neural network training method and device, target detection method and device, equipment and medium

The invention provides a neural network training method and device, a target detection method and device, equipment and a medium, and relates to the technical field of artificial intelligence, in particular to computer vision, image recognition and deep learning technologies. According to the implementation scheme, a first image sample is input into a first sub-network to obtain a first feature map and a first detection result, and the first image sample is input into a second sub-network to obtain a second feature map; performing encoding operation on each first detection frame result in the first detection results to generate a first frame encoding result corresponding to the first detection frame result in the first encoding results; performing self-attention calculation on the first coding result, the first feature map and the second feature map to obtain a first attention result and a second attention result; calculating a first loss value based on the first attention result and the second attention resu