- Improving Pairwise Ranking for Multi-label Image Classification
- Improved Deep Metric Learning with Multi-class N-pair Loss Objective
- Dimensionality Reduction by Learning an Invariant Mapping
- Exponential discriminative metric embedding in deep learning
- Learning Universal Embeddings from Attributes
- TVAE: TRIPLET-BASED VARIATIONAL AUTOENCODER USING METRIC LEARNING
- Simple Triplet Loss Based on Intra/Inter-class Metric Learning for Face Verification
- Joint Unsupervised Learning of Deep Representations and Image Clusters
- TRAINING TRIPLET NETWORKS WITH GAN
- Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions
- NormFace: L2 Hypersphere Embedding for Face Verification
Created
April 17, 2018 10:31
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Temporal memo for triplet loss related papers
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