Dual Dynamic Threshold Adjustment Strategy for Improving Deep Metric Learning Performance

The authors propose a Dual Dynamic Threshold Adjustment Strategy (DDTAS) to dynamically adjust the thresholds associated with both the loss function and the sample mining strategy in deep metric learning, leading to improved image retrieval performance.