Circle Loss: A Unified Perspective of Pair Similarity Optimization

Circle Loss: 成对相似性优化的统一视角.

Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning

深度度量学习的多重相似性损失与通用对加权.

Person re-identification by multi-channel parts-based CNN with improved triplet loss function

通过多通道基于部位的卷积神经网络和改进的三元组损失函数实现人体重识别.

In Defense of the Triplet Loss for Person Re-Identification

为人体重识别任务中的三元组损失辩护.

Ranked List Loss for Deep Metric Learning

深度度量学习中的排序列表损失.

ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis

ProxyNCA++: 回顾和改进深度度量学习中的代理邻域成分分析.