Algorithm training loss (own creation). (a) SRS training loss. (b) MFF training loss. (c) SRSMFF training loss. Note: The training loss of SRS algorithm is 0.40, and that of MSFF algorithm is 0.169, indicating that the addition of feature fusion technology and attention mechanism improves the accuracy of the algorithm The calculation loss of srsmff is 0.088, and the convergence speed of the algorithm is faster than that of MFF algorithm, which shows that the calculation method of Diou loss function is conducive to improving the speed of the prediction box approaching the real box in training.