Metric Learning

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

33 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 33 until expanded.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 613 papers with code (1,648 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• In Defense of the Triplet Loss for Person Re-Identification
  22 Mar 2017 31 repositories listed Syntology ran 6 of 46 samples · 40 unverified
  In the past few years, the field of computer vision has gone through a revolution fueled mainly by the advent of large datasets and the adoption of deep convolutional neural networks for end-to-end learning.
• Matching Networks for One Shot Learning
  13 Jun 2016 26 repositories listed Syntology ran 6 of 16 samples · 10 unverified · 6 pointer-only (licence)
  Our algorithm improves one-shot accuracy on ImageNet from 87.
• Circle Loss: A Unified Perspective of Pair Similarity Optimization
  25 Feb 2020 16 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
  This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class similarity sₚ and minimize the between-class similarity sₙ.
• Additive Margin Softmax for Face Verification
  17 Jan 2018 10 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  In this work, we introduce a novel additive angular margin for the Softmax loss, which is intuitively appealing and more interpretable than the existing works.
• Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
  19 Feb 2020 8 repositories listed Syntology ran 3 of 22 samples · 19 unverified · 1 pointer-only (licence)
  Deep Metric Learning (DML) is arguably one of the most influential lines of research for learning visual similarities with many proposed approaches every year.
• Semantic Instance Segmentation with a Discriminative Loss Function
  8 Aug 2017 8 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  In this work we propose to tackle the problem with a discriminative loss function, operating at the pixel level, that encourages a convolutional network to produce a representation of the image that can easily be…
• Deep Learning for Person Re-identification: A Survey and Outlook
  13 Jan 2020 7 repositories listed Syntology ran 8 of 22 samples · 14 unverified · 3 pointer-only (licence)
  The widely studied closed-world setting is usually applied under various research-oriented assumptions, and has achieved inspiring success using deep learning techniques on a number of datasets.
• Time-Contrastive Networks: Self-Supervised Learning from Video
  23 Apr 2017 7 repositories listed
  While representations are learned from an unlabeled collection of task-related videos, robot behaviors such as pouring are learned by watching a single 3rd-person demonstration by a human.
• metric-learn: Metric Learning Algorithms in Python
  13 Aug 2019 6 repositories listed
  metric-learn is an open source Python package implementing supervised and weakly-supervised distance metric learning algorithms.
• Sampling Matters in Deep Embedding Learning
  23 Jun 2017 6 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  In addition, we show that a simple margin based loss is sufficient to outperform all other loss functions.
• Exploring Cross-Image Pixel Contrast for Semantic Segmentation
  28 Jan 2021 5 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Inspired by the recent advance in unsupervised contrastive representation learning, we propose a pixel-wise contrastive framework for semantic segmentation in the fully supervised setting.
• Cross-Batch Memory for Embedding Learning
  14 Dec 2019 5 repositories listed
  This suggests that the features of instances computed at preceding iterations can be used to considerably approximate their features extracted by the current model.
• SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
  11 Sep 2019 5 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 2 pointer-only (licence)
  The set of triplet constraints has to be sampled within the mini-batch.
• PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
  18 Aug 2019 5 repositories listed
  In this paper, we tackle the challenging few-shot segmentation problem from a metric learning perspective and present PANet, a novel prototype alignment network to better utilize the information of the support set.
• Deep Cosine Metric Learning for Person Re-Identification
  2 Dec 2018 5 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  Metric learning aims to construct an embedding where two extracted features corresponding to the same identity are likely to be closer than features from different identities.
• Batch DropBlock Network for Person Re-identification and Beyond
  17 Nov 2018 5 repositories listed Syntology ran 3 of 12 samples · 9 unverified
  In this paper, we propose the Batch DropBlock (BDB) Network which is a two branch network composed of a conventional ResNet-50 as the global branch and a feature dropping branch.
• Understanding the Role of the Projector in Knowledge Distillation
  20 Mar 2023 4 repositories listed
  We then show that the normalisation of representations is tightly coupled with the training dynamics of this projector, which can have a large impact on the students performance.
• NBC-Softmax : Darkweb Author fingerprinting and migration tracking
  15 Dec 2022 4 repositories listed
  An author style detection task is a metric learning problem, where learning style features with small intra-class variations and larger inter-class differences is of great importance to achieve better performance.
• A Metric Learning Reality Check
  18 Mar 2020 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Deep metric learning papers from the past four years have consistently claimed great advances in accuracy, often more than doubling the performance of decade-old methods.
• Unicom: Universal and Compact Representation Learning for Image Retrieval
  12 Apr 2023 3 repositories listed Syntology ran 3 of 6 samples · 3 unverified · 6 pointer-only (licence)
  To further enhance the low-dimensional feature representation, we randomly select partial feature dimensions when calculating the similarities between embeddings and class-wise prototypes.
• Equiangular Basis Vectors
  21 Mar 2023 3 repositories listed
  The learning objective of these methods can be summarized as mapping the learned feature representations to the samples' label space.
• A Deep Metric Learning Approach to Account Linking
  15 May 2021 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  We consider the task of linking social media accounts that belong to the same author in an automated fashion on the basis of the content and metadata of their corresponding document streams.
• Distribution-Free, Risk-Controlling Prediction Sets
  7 Jan 2021 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  While improving prediction accuracy has been the focus of machine learning in recent years, this alone does not suffice for reliable decision-making.
• Channel Augmented Joint Learning for Visible-Infrared Recognition
  1 Jan 2021 3 repositories listed
  This paper introduces a powerful channel augmented joint learning strategy for the visible-infrared recognition problem.
• Quasi-Dense Similarity Learning for Multiple Object Tracking
  11 Jun 2020 3 repositories listed
  Compared to methods with similar detectors, it boosts almost 10 points of MOTA and significantly decreases the number of ID switches on BDD100K and Waymo datasets.
• Proxy Anchor Loss for Deep Metric Learning
  31 Mar 2020 3 repositories listed
  The former class can leverage fine-grained semantic relations between data points, but slows convergence in general due to its high training complexity.
• CoLES: Contrastive Learning for Event Sequences with Self-Supervision
  19 Feb 2020 3 repositories listed
  We address the problem of self-supervised learning on discrete event sequences generated by real-world users.
• Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
  25 Sep 2019 3 repositories listed
  Person re-identification is the task of matching pedestrian images across non-overlapping cameras.
• Relational Knowledge Distillation
  10 Apr 2019 3 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
  Knowledge distillation aims at transferring knowledge acquired in one model (a teacher) to another model (a student) that is typically smaller.
• Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology
  9 Apr 2019 3 repositories listed
  In radiologists' routine work, one major task is to read a medical image, e.

Syntology lines on 17 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.