mlsanityData to 7 Oct 2026

Open-Set Recognition with Gaussian Mixture Variational Autoencoders

arXiv 2006.02003 ↗First posted 3 Jun 2020cs.LG cs.CV cs.NEcited by 15

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Abstract (arXiv)

In inference, open-set classification is to either classify a sample into a known class from training or reject it as an unknown class. Existing deep open-set classifiers train explicit closed-set classifiers, in some cases disjointly utilizing reconstruction, which we find dilutes the latent representation's ability to distinguish unknown classes. In contrast, we train our model to cooperatively learn reconstruction and perform class-based clustering in the latent space. With this, our Gaussian mixture variational autoencoder (GMVAE) achieves more accurate and robust open-set classification results, with an average F1 improvement of 29.5%, through extensive experiments aided by analytical results.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Jun 2020.

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Citing papers per year: 2021: 1; 2022: 4; 2023: 5; 2024: 1; 2025: 3; 2026: 1.

15 papers.

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  1. 2021Generalized Out-of-Distribution Detection: A Surveycited by 796
  2. 2023A Survey on Open-Set Image Recognitioncited by 7
  3. 2023Expecting The Unexpected: Towards Broad Out-Of-Distribution Detectioncited by 3
  4. 2022Open-Set Recognition of Breast Cancer Treatmentscited by 2
  5. 2022MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibrationcited by 2
  6. 2025UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasetscited by 2
  7. 2022Latent Combinational Game Designcited by 0
  8. 2022Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognitioncited by 0
  9. 2023Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognitioncited by 0
  10. 2023Recursive Counterfactual Deconfounding for Object Recognitioncited by 0
  11. 2023OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learningcited by 0
  12. 2024Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognitioncited by 0
3 more
  1. 2025Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentationcited by 0
  2. 2025Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learningcited by 0
  3. 2026Beyond the Simplex: Balanced Prototype Geometry for Scorer-Agnostic Open-Set Recognitioncited by 0