The invention discloses a serialized face key point detection method with
relay supervision based on
deep learning, and the method comprises the following steps: giving a detected face image, designing a
cascade network structure composed of a plurality of modules, and achieving the serialized prediction of key points through the structure through the
relay supervision of each module; calculatingthe expectation of the key point coordinates on the output key point
heat map by combining the soft maximum value function, completing the conversion from
heat map regression to numerical value coordinate regression based on the key point coordinates. The respective advantages of the two regression methods are brought into full play. According to the method, on one hand, the defect that a heat mapregression method cannot perform end-to-end training is overcome, on the other hand, an additional
data processing process is omitted, the model training process is accelerated, and the
algorithm efficiency is improved. When numerical coordinate regression is carried out, a new segmented
loss function is adopted, and finally high positioning accuracy is obtained.