Deep Metric Learning with Angular Loss

通过角度损失实现深度度量学习.

Metric Learning with Adaptive Density Discrimination

通过自适应密度判别实现度量学习.

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

通过多类别N-pair损失改进深度度量学习.

Learning Deep Embeddings with Histogram Loss

通过直方图损失学习深度嵌入.

Deep Metric Learning via Lifted Structured Feature Embedding

基于提升结构化特征嵌入的深度度量学习.

FaceNet: A Unified Embedding for Face Recognition and Clustering

FaceNet：通过三元组损失实现人脸识别和聚类的统一嵌入.