Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Core Methods
Machine Learning
›
Core Methods
›
Metric Learning
2800 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 7
2004: 7
2005: 6
2006: 14
2007: 11
2008: 10
2009: 25
2010: 21
2011: 28
2012: 35
2013: 80
2014: 54
2015: 101
2016: 85
2017: 135
2018: 154
2019: 303
2020: 257
2021: 306
2022: 290
2023: 317
2024: 242
2025: 216
2026: 94
Papers
Similarity Based Auxiliary Classifier for Named Entity Recognition
EMNLP 2019
Neighborhood Preserving Hashing for Scalable Video Retrieval
ICCV 2019
Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization
ICCV 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning
ICCV 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
ICCV 2019
ViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning
ICCV 2019
Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization
ICCV 2019
Deep Meta Metric Learning
ICCV 2019
SegSort: Segmentation by Discriminative Sorting of Segments
ICCV 2019
View Confusion Feature Learning for Person Re-Identification
ICCV 2019
Batch DropBlock Network for Person Re-Identification and Beyond
ICCV 2019
AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching
ICCV 2019
Soft Labels for Ordinal Regression
CVPR 2019
3D Instance Segmentation via Multi-Task Metric Learning
ICCV 2019
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment
ICCV 2019
Vehicle Re-Identification With Viewpoint-Aware Metric Learning
ICCV 2019
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-Identification
ICCV 2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
ICCV 2019
Deep Metric Learning With Tuplet Margin Loss
ICCV 2019
Local Aggregation for Unsupervised Learning of Visual Embeddings
ICCV 2019
Video Face Clustering With Unknown Number of Clusters
ICCV 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
ICCV 2019
Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training
ICCV 2019
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
NIPS 2019
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval
AAAI 2019
<
1
…
72
73
74
…
112
>