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Learning latent features with local channel drop network for vehicle re-identification.\u00a0Engineering Applications of Artificial Intelligence,\u00a0107, 104540 . Fu, X., Peng, J., Jiang, G., & Wang, H. (2022). Learning latent features with local channel drop network for vehicle re-identification.\u00a0Engineering Applications of Artificial Intelligence,\u00a0107, 104540."},{"key":"e_1_3_2_1_24_1","volume-title":"Vehicle Re-Identification Based on Global Relational Attention and Multi-Granularity Feature Learning.\u00a0IEEE Access,\u00a010, 17674-17682","author":"Tian X.","year":"2022","unstructured":"Tian , X. , Pang , X. , Jiang , G. , Meng , Q. , & Zheng , Y. ( 2022 ). Vehicle Re-Identification Based on Global Relational Attention and Multi-Granularity Feature Learning.\u00a0IEEE Access,\u00a010, 17674-17682 . Tian, X., Pang, X., Jiang, G., Meng, Q., & Zheng, Y. (2022). 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Person re-identification using multiple experts with random subspaces.\u00a0Journal of Image and Graphics,\u00a02(2), 151-157."},{"key":"e_1_3_2_1_35_1","volume-title":"Enabling Open-Set Person Re-Identification for Real-World Scenarios.\u00a0Journal of Image and Graphics,\u00a08(2), 26-36","author":"Alkanat T.","year":"2020","unstructured":"Alkanat , T. , & Bondarau , E. ( 2020 ). Enabling Open-Set Person Re-Identification for Real-World Scenarios.\u00a0Journal of Image and Graphics,\u00a08(2), 26-36 . Alkanat, T., & Bondarau, E. (2020). 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