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metric learning

1189 papers

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Also known as

FTML UML MLKML ML SPD DML MNR

Co-occurring keywords

representation learning (6174) few-shot learning (3390) image retrieval (599) embedding learning (609) person re-identification (554) convolutional neural network (4216) contrastive learning (3979) triplet loss (192) feature embedding (312) feature learning (1309)

Papers

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems IJCAI 2019
TIGEr: Text-to-Image Grounding for Image Caption Evaluation IJCNLP 2019
Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification AAAI 2019
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision AAAI 2019
Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval AAAI 2019
Robust Ordinal Embedding from Contaminated Relative Comparisons AAAI 2019
Lorentzian Distance Learning for Hyperbolic Representations ICML 2019
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping CVPR 2019
Learning Metrics From Teachers: Compact Networks for Image Embedding CVPR 2019
UniformFace: Learning Deep Equidistributed Representation for Face Recognition CVPR 2019
Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification CVPR 2019
Part-Regularized Near-Duplicate Vehicle Re-Identification CVPR 2019
Learning Shape-Aware Embedding for Scene Text Detection CVPR 2019
ArcFace: Additive Angular Margin Loss for Deep Face Recognition CVPR 2019
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019
Metric Learning for Image Registration CVPR 2019
Dense Classification and Implanting for Few-Shot Learning CVPR 2019
Weakly Supervised Deep Image Hashing Through Tag Embeddings CVPR 2019
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates CVPR 2019
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations CVPR 2019
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees AAAI 2019
Similarity Learning via Kernel Preserving Embedding AAAI 2019
Boosting for Comparison-Based Learning IJCAI 2019
One-Shot Object Detection with Co-Attention and Co-Excitation NIPS 2019