In order to solve the problem that the existing key point detection algorithm of carrier aircraft has low detection performance and poor detection effect on key point occlusion, a key point detection algorithm of carrier aircraft contour based on deep residual network and feature pyramid network is proposed. By extracting the deep image features of the key point of the carrier aircraft and fusing the features of different scales, the experiment analyzes the influence of the object detection algorithm, the feature extraction network and the size of the input image on the performance of the key point detection algorithm, and compares it with other key point detection algorithms perform by experimental comparison. The results show that the algorithm can achieve the optimal results.