A Model for Luggage Re-identification Based on the Network Ensemble

Luggage re-identification based on the image recognition is a highly demanding task for security check. The final result of testing model of using single network and loss function is under our expectation. Therefore, network ensemble which integrate multiple networks and loss ensemble which adopt various loss functions are explored and adopted in this paper. Meantime, most of technology of re-identification are adopted in this paper. In order to improve generalization ability, random erasing, batch feature erasing, random flip are adopted in this paper. Multibranch structure is adopted to extract more features and re-ranking is adopted to improve final accuracy. These methods are integrated into the model of luggage re-identification. Experimental results show that the better accuracy is obtained by our method. The model has strong value of practical application.