open-set classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (47 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.

• Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
  27 Dec 2023 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified
  In a simple setting with direct supervision on the generative factors, we show how learning class-agnostic transformations offers a way to circumvent catastrophic forgetting and improve classification accuracy over time.
• Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss
  1 Nov 2023 2 repositories listed
  MEL modifies the traditional Cross-Entropy loss in favor of increasing the entropy for negative samples and attaches a penalty to known target classes in pursuance of gallery specialization.
• IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  25 Aug 2023 2 repositories listed Syntology ran 9 of 12 samples · 3 unverified
  Semi-supervised learning (SSL) aims to leverage massive unlabeled data when labels are expensive to obtain.
• Large-Scale Open-Set Classification Protocols for ImageNet
  13 Oct 2022 2 repositories listed
  Open-Set Classification (OSC) intends to adapt closed-set classification models to real-world scenarios, where the classifier must correctly label samples of known classes while rejecting previously unseen unknown…
• Large-Scale Evaluation of Open-Set Image Classification Techniques
  13 Jun 2024 1 repository listed
  However, most methods misclassify samples with unseen labels and assign them to one of the known classes.
• Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks
  28 Feb 2024 1 repository listed
  In this paper we propose to use model pairs on open-set classification tasks for detecting backdoors.
• Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation
  23 Aug 2023 1 repository listed
  Open-set face recognition refers to a scenario in which biometric systems have incomplete knowledge of all existing subjects.
• Robust open-set classification for encrypted traffic fingerprinting
  23 Aug 2023 1 repository listed
  First, we show that a well-regularized deep learning model improves the open-set classification and then we propose a novel open-set classification method with three variants that perform consistently over multiple…
• ProTeCt: Prompt Tuning for Taxonomic Open Set Classification
  4 Jun 2023 1 repository listed Syntology ran 1 of 10 samples · 9 unverified
  A new Prompt Tuning for Hierarchical Consistency (ProTeCt) technique is then proposed to calibrate classification across label set granularities.
• Learning Pairwise Interaction for Generalizable DeepFake Detection
  26 Feb 2023 1 repository listed
  We obtain 98.
• Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset
  19 Feb 2023 1 repository listed
  In this work, we first collect a large-scale institution name normalization dataset LoT-insts1, which contains over 25k classes that exhibit a naturally long-tailed distribution.
• Open-Set Automatic Target Recognition
  10 Nov 2022 1 repository listed
  Automatic Target Recognition (ATR) is a category of computer vision algorithms which attempts to recognize targets on data obtained from different sensors.
• Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery
  21 Jul 2020 1 repository listed
  Although inherently a classification problem, both representative and discriminative aspects of data need to be exploited in order to better distinguish unknown classes from known.
• Open Set Authorship Attribution toward Demystifying Victorian Periodicals
  17 Dec 2019 1 repository listed
  Existing research in computational authorship attribution (AA) has primarily focused on attribution tasks with a limited number of authors in a closed-set configuration.
• Unbiased Evaluation of Deep Metric Learning Algorithms
  28 Nov 2019 1 repository listed
  Deep metric learning (DML) is a popular approach for images retrieval, solving verification (same or not) problems and addressing open set classification.
• Classification-Reconstruction Learning for Open-Set Recognition
  11 Dec 2018 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Existing open-set classifiers rely on deep networks trained in a supervised manner on known classes in the training set; this causes specialization of learned representations to known classes and makes it hard to…

Syntology lines on 4 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.