Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID Supplementary Material

Dapeng Chen is the corresponding author. The initial learning rate is set to 0.00035 and is decreased to 1/10 of its previous value every 20 epochs in the total 50 epochs. Table 7, significant 4.8% mAP improvements can be observed when applying the self-paced learning What is interesting is that the final performance is even better than that on DBSCAN. Experiments are conducted on the tasks of unsupervised person re-ID. Market-1501, and the chosen hyper-parameters are directly applied to all the other tasks.