Skip to content
conftrace_

metric learning

1,252 papers

ML

Papers

Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps IJCAI 2017 Level Playing Field for Million Scale Face Recognition CVPR 2017 Link Prediction via Ranking Metric Dual-Level Attention Network Learning IJCAI 2017 Matching neural paths: transfer from recognition to correspondence search NeurIPS 2017 Multi-Object Tracking With Quadruplet Convolutional Neural Networks CVPR 2017 NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance CVPR 2017 Nonparametric Online Regression while Learning the Metric NeurIPS 2017 Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing IJCAI 2017 One-Shot Metric Learning for Person Re-Identification CVPR 2017 Optical Flow Requires Multiple Strategies (but Only One Network) CVPR 2017 Point to Set Similarity Based Deep Feature Learning for Person Re-Identification CVPR 2017 Practical Data-Dependent Metric Compression with Provable Guarantees NeurIPS 2017 Prototypical Networks for Few-shot Learning NeurIPS 2017 Quality Aware Network for Set to Set Recognition CVPR 2017 Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild CVPR 2017 Revisiting Metric Learning for SPD Matrix Based Visual Representation CVPR 2017 Scalable Person Re-Identification on Supervised Smoothed Manifold CVPR 2017 See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification CVPR 2017 SEVEN: Deep Semi-supervised Verification Networks IJCAI 2017 SphereFace: Deep Hypersphere Embedding for Face Recognition CVPR 2017 Template Matching With Deformable Diversity Similarity CVPR 2017 Two dimensional Large Margin Nearest Neighbor for Matrix Classification IJCAI 2017 Unified Embedding and Metric Learning for Zero-Exemplar Event Detection CVPR 2017 Working hard to know your neighbor's margins: Local descriptor learning loss NeurIPS 2017 Actively Learning Hemimetrics with Applications to Eliciting User Preferences ICML 2016