Open Set Learning

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

6 datasets whose archive record lists this task, ordered by the archive's paper count.

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 110 papers with code (267 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.

• OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
  13 Oct 2022 4 repositories listed Syntology ran 8 of 17 samples · 9 unverified
  Out-of-distribution (OOD) detection is vital to safety-critical machine learning applications and has thus been extensively studied, with a plethora of methods developed in the literature.
• Generalized Out-of-Distribution Detection: A Survey
  21 Oct 2021 4 repositories listed
  In this survey, we first present a unified framework called generalized OOD detection, which encompasses the five aforementioned problems, i.
• Towards Open Set Deep Networks
  19 Nov 2015 4 repositories listed
  We present a methodology to adapt deep networks for open set recognition, by introducing a new model layer, OpenMax, which estimates the probability of an input being from an unknown class.
• GDumb: A Simple Approach that Questions Our Progress in Continual Learning
  1 Aug 2020 3 repositories listed
  We discuss a general formulation for the Continual Learning (CL) problem for classification---a learning task where a stream provides samples to a learner and the goal of the learner, depending on the samples it…
• Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
  28 May 2019 3 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  Modern deep neural networks are well known to be brittle in the face of unknown data instances and recognition of the latter remains a challenge.
• Learning a Neural-network-based Representation for Open Set Recognition
  12 Feb 2018 3 repositories listed
  Open set recognition problems exist in many domains.
• ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
  28 Jun 2025 2 repositories listed
  We introduce ActAlign, a zero-shot framework that formulates video classification as sequence alignment.
• 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.
• Open-Set Image Tagging with Multi-Grained Text Supervision
  23 Oct 2023 2 repositories listed Syntology ran 4 of 8 samples · 4 unverified
  Specifically, for predefined commonly used tag categories, RAM++ showcases 10.
• Pairwise Similarity Learning is SimPLE
  13 Oct 2023 2 repositories listed Syntology ran 8 of 9 samples · 1 unverified
  In this paper, we focus on a general yet important learning problem, pairwise similarity learning (PSL).
• Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology
  10 Jul 2023 2 repositories listed
  Developing computational pathology models is essential for reducing manual tissue typing from whole slide images, transferring knowledge from the source domain to an unlabeled, shifted target domain, and identifying…
• In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
  1 Jun 2023 2 repositories listed Syntology ran 1 of 19 samples · 18 unverified
  The OOD detection performance when the in-distribution (ID) is ImageNet-1K is commonly being tested on a small range of test OOD datasets.
• Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
  12 Oct 2021 2 repositories listed Syntology ran 6 of 17 samples · 11 unverified
  In this paper, we first demonstrate that the ability of a classifier to make the 'none-of-above' decision is highly correlated with its accuracy on the closed-set classes.
• Evidential Deep Learning for Open Set Action Recognition
  21 Jul 2021 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 4 pointer-only (licence)
  Different from image data, video actions are more challenging to be recognized in an open-set setting due to the uncertain temporal dynamics and static bias of human actions.
• Adversarial Motorial Prototype Framework for Open Set Recognition
  13 Jul 2021 2 repositories listed
  Second, this paper proposes the adversarial motorial prototype framework (AMPF) based on the MPF.
• Large-Scale Long-Tailed Recognition in an Open World
  10 Apr 2019 2 repositories listed
  We define Open Long-Tailed Recognition (OLTR) as learning from such naturally distributed data and optimizing the classification accuracy over a balanced test set which include head, tail, and open classes.
• Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
  7 Sep 2018 2 repositories listed
  Opposite-Direction Feature Attack (ODFA) effectively exploits feature-level adversarial gradients and takes advantage of feature distance in the representation space.
• Disentangled representations of microscopy images
  25 Jun 2025 1 repository listed
  Microscopy image analysis is fundamental for different applications, from diagnosis to synthetic engineering and environmental monitoring.
• SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds
  16 Jun 2025 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Recent advancements in deep learning have greatly enhanced 3D object recognition, but most models are limited to closed-set scenarios, unable to handle unknown samples in real-world applications.
• Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets
  20 May 2025 1 repository listed
  Moreover, real-world data may contain unseen classes that need to be identified, and model performance is affected by the data scarcity.
• Synthetic Non-stationary Data Streams for Recognition of the Unknown
  19 May 2025 1 repository listed
  An equally important variability typical for non-stationary data stream environments is the emergence of new, previously unknown classes.
• BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
  22 Mar 2025 1 repository listed
  We first empirically and theoretically explore the role of foregrounds and backgrounds in open set recognition and disclose that: 1) backgrounds that correlate with foregrounds would mislead the model and cause failures…
• Cross-Rejective Open-Set SAR Image Registration
  1 Jan 2025 1 repository listed
  In this work, these redundant keypoints are regarded as out-of-distribution (OOD) samples, and we formulate the registration as a special open-set task with two modules: supervised contrastive feature-tuning and…
• Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization
  24 Dec 2024 1 repository listed
  Open-Set Domain Generalization (OSDG) is a challenging task requiring models to accurately predict familiar categories while minimizing confidence for unknown categories to effectively reject them in unseen domains.
• Robustness-enhanced Myoelectric Control with GAN-based Open-set Recognition
  20 Dec 2024 1 repository listed
  Electromyography (EMG) signals are widely used in human motion recognition and medical rehabilitation, yet their variability and susceptibility to noise significantly limit the reliability of myoelectric control systems.
• COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving
  6 Dec 2024 1 repository listed
  As the Computer Vision community rapidly develops and advances algorithms for autonomous driving systems, the goal of safer and more efficient autonomous transportation is becoming increasingly achievable.
• Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin Approach
  4 Nov 2024 1 repository listed
  Accurate identification of individual leopards across camera trap images is critical for population monitoring and ecological studies.
• LEGO-Learn: Label-Efficient Graph Open-Set Learning
  21 Oct 2024 1 repository listed
  Graph open-set learning (GOL) and out-of-distribution (OOD) detection aim to address this challenge by training models that can accurately classify known, in-distribution (ID) classes while identifying and handling…
• Open World Object Detection: A Survey
  15 Oct 2024 1 repository listed
  Exploring new knowledge is a fundamental human ability that can be mirrored in the development of deep neural networks, especially in the field of object detection.
• Open-set recognition with long-tail sonar images
  1 Sep 2024 1 repository listed
  In this paper, we establish a Sonar-OLTR benchmark by introducing the Nankai Sonar Image Dataset (NKSID), a new collection of 2617 real-world forward-looking sonar images.

Syntology lines on 8 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.