PERSON RE-IDENTIFICATION METHOD COMBINING REVERSE ATTENTION AND MULTI-SCALE DEEP SUPERVISION

摘要

The present invention relates to a person re-identification method combining reverse attention and multi-scale deep supervision, including: constructing a person re-identification training network; training the person re-identification training network by using a training data set, to obtain a learning network, and discarding a reverse attention branch and a multi-scale deep supervision branch of a feature extraction module in the learning network, to obtain a test network; testing the test network by using a test data set, and after the test succeeds, inputting an actual data set into the learning network, to learn an image feature of the actual data set, and then discarding the reverse attention branch and the multi-scale deep supervision branch of the feature extraction module in the learning network, to obtain an application network; and inputting an actual query image into the application network, to obtain an identification result corresponding to the actual query image.