mlsanityData to 7 Oct 2026

Hyperbolic Image Embeddings

arXiv 1904.02239 ↗First posted 3 Apr 2019cs.CV cs.LGcited by 219

Not on the map. Why?

Abstract (arXiv)

Computer vision tasks such as image classification, image retrieval and few-shot learning are currently dominated by Euclidean and spherical embeddings, so that the final decisions about class belongings or the degree of similarity are made using linear hyperplanes, Euclidean distances, or spherical geodesic distances (cosine similarity). In this work, we demonstrate that in many practical scenarios hyperbolic embeddings provide a better alternative.

Key facts. Cited by 219 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Apr 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 26; 2022: 33; 2023: 38; 2024: 33; 2025: 48; 2026: 41.

219 papers.

Sort:

By area:

  1. 2021Hyperbolic Deep Neural Networks: A Surveycited by 138
  2. 2023Hyperbolic Image-Text Representationscited by 132
  3. 2022Hyperbolic Vision Transformers: Combining Improvements in Metric Learningcited by 109
  4. 2022Hyperbolic Image Segmentationcited by 101
  5. 2023Hyperbolic Deep Learning in Computer Vision: A Surveycited by 72
  6. 2024Compositional Entailment Learning for Hyperbolic Vision-Language Modelscited by 72
  7. 2023E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuningcited by 70
  8. 2022Hyperbolic Contrastive Learning for Visual Representations beyond Objectscited by 58
  9. 2021Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifierscited by 56
  10. 2021A Hyperbolic-to-Hyperbolic Graph Convolutional Networkcited by 53
  11. 2021Learning the Predictability of the Futurecited by 48
  12. 2023Fully Hyperbolic Convolutional Neural Networks for Computer Visioncited by 48
38 more
  1. 2022The Numerical Stability of Hyperbolic Representation Learningcited by 46
  2. 2021von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learningcited by 42
  3. 2023HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representationscited by 42
  4. 2021Hyperbolic Busemann Learning with Ideal Prototypescited by 40
  5. 2021Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervisioncited by 39
  6. 2024Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Spacecited by 39
  7. 2024LLMs are Good Action Recognizerscited by 36
  8. 2022HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularizationcited by 34
  9. 2021Towards Interpretable Deep Metric Learning with Structural Matchingcited by 30
  10. 2021CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Datacited by 28
  11. 2021Ranking Distance Calibration for Cross-Domain Few-Shot Learningcited by 27
  12. 2022HIER: Metric Learning Beyond Class Labels via Hierarchical Regularizationcited by 26
  13. 2022Hyperbolic Deep Reinforcement Learningcited by 25
  14. 2023Poincar'e ResNetcited by 24
  15. 2024Hyperbolic Fine-Tuning for Large Language Modelscited by 24
  16. 2022The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generationcited by 22
  17. 2023Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Designcited by 22
  18. 2022Task Discrepancy Maximization for Fine-grained Few-Shot Classificationcited by 21
  19. 2023Hyperbolic Representation Learning: Revisiting and Advancingcited by 21
  20. 2025Hyperbolic Category Discoverycited by 20
  21. 2022Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddingscited by 19
  22. 2023From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understandingcited by 19
  23. 2023Hyperbolic Audio-visual Zero-shot Learningcited by 19
  24. 2021Reinforced Attention for Few-Shot Learning and Beyondcited by 18
  25. 2022Rethinking the compositionality of point clouds through regularization in the hyperbolic spacecited by 18
  26. 2023Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learningcited by 18
  27. 2023Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimizationcited by 18
  28. 2022Hyperbolic Uncertainty Aware Semantic Segmentationcited by 17
  29. 2024HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Textscited by 17
  30. 2024Lorentzian Residual Neural Networkscited by 17
  31. 2025Hyperbolic Safety-Aware Vision-Language Modelscited by 17
  32. 2025HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learningcited by 17
  33. 2022Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projectionscited by 16
  34. 2024Learning Structured Representations with Hyperbolic Embeddingscited by 16
  35. 2021Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoderscited by 15
  36. 2021Rich Semantics Improve Few-shot Learningcited by 15
  37. 2021Adaptive Poincar'e Point to Set Distance for Few-Shot Classificationcited by 15
  38. 2022Curved Geometric Networks for Visual Anomaly Recognitioncited by 15

50 most cited of 219 All 219 (JSON)