METHOD FOR TRAINING VEHICLE MODEL-YEAR RECOGNITION MODEL AND METHOD FOR RECOGNIZING VEHICLE MODEL YEAR

摘要

A method for training a vehicle model-year recognition model and a method for recognizing a vehicle model year, relating to the technical field of vehicle recognition. The training method comprises: acquiring a vehicle sample image having labeling information (S11); inputting the vehicle sample image into a feature extraction module, so as to obtain at least two groups of features (S12); on the basis of the at least two groups of features, obtaining a region of interest corresponding to each group of features and a score value thereof (S13); fusing the regions of interest and the vehicle sample image and then inputting same into a classification module, so as to obtain whole image classification features, features of the regions of interest, and features of the whole image fused with the regions of interest (S14); calculating loss function values according to the described three kinds of features and the score value of each region of interest (S15); and on the basis of the labeling information and the loss function values, updating parameters of the feature extraction module and the classification module, so as to optimize a vehicle model year recognition model (S16). The training method improves the accuracy of a recognition model, and provides a foundation for subsequent application in a recognition method.