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Lecture Notes in Computer Science
Drastic variations in illumination across surveillance cameras make the person re-identification problem extremely challenging. Current large scale re-identification datasets have a significant number of training subjects, but lack diversity in lighting conditions. As a result, a trained model requires fine-tuning to become effective under an unseen illumination condition. To alleviate this problem, we introduce a new synthetic dataset that contains hundreds of illumination conditions.doi:10.1007/978-3-030-01261-8_12 fatcat:fdpyp2dh7vf2jfrzzwduifbeee