Hyperbolic Image Segmentation
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Abstract (arXiv)
For image segmentation, the current standard is to perform pixel-level optimization and inference in Euclidean output embedding spaces through linear hyperplanes. In this work, we show that hyperbolic manifolds provide a valuable alternative for image segmentation and propose a tractable formulation of hierarchical pixel-level classification in hyperbolic space. Hyperbolic Image Segmentation opens up new possibilities and practical benefits for segmentation, such as uncertainty estimation and boundary information for free, zero-label generalization, and increased performance in low-dimensional output embeddings.
Key facts. Cited by 101 papers in the map (data through 7 Oct 2026). Builds on 40 of its 54 references that are in the map. First posted on arXiv 11 Mar 2022.
Builds on
40 of 54 references.
References · 40
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
- 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
- 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
- 2015Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learningcited by 4,416
- 2016DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFscited by 3,239
- 2018Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentationcited by 3,210
- 2016Pyramid Scene Parsing Networkcited by 2,472
- 2015SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentationcited by 1,483
- 2016COCO-Stuff: Thing and Stuff Classes in Contextcited by 858
- 2017Poincar'e Embeddings for Learning Hierarchical Representationscited by 674
- 2019Segmentation Transformer: Object-Contextual Representations for Semantic Segmentationcited by 573
- 2019Hyperbolic Graph Convolutional Neural Networkscited by 400
28 more
- 2018Hyperbolic Neural Networkscited by 393
- 2015Learning Deconvolution Network for Semantic Segmentationcited by 365
- 2018Context Encoding for Semantic Segmentationcited by 289
- 2018Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometrycited by 261
- 2019Hyperbolic Graph Neural Networkscited by 244
- 2019Hyperbolic Image Embeddingscited by 219
- 2018Representation Tradeoffs for Hyperbolic Embeddingscited by 204
- 2020Hierarchical Multi-Scale Attention for Semantic Segmentationcited by 183
- 2018Hyperbolic Entailment Cones for Learning Hierarchical Embeddingscited by 160
- 2018Poincar'e GloVe: Hyperbolic Word Embeddingscited by 155
- 2018Evaluating Bayesian Deep Learning Methods for Semantic Segmentationcited by 143
- 2021Hyperbolic Deep Neural Networks: A Surveycited by 138
- 2019Constant Curvature Graph Convolutional Networkscited by 106
- 2017Open Vocabulary Scene Parsingcited by 76
- 2021Lorentzian Graph Convolutional Networkscited by 66
- 2019Squeeze-and-Attention Networks for Semantic Segmentationcited by 60
- 2018Bayesian Layers: A Module for Neural Network Uncertaintycited by 57
- 2021A Hyperbolic-to-Hyperbolic Graph Convolutional Networkcited by 53
- 2020Differentiating through the Fr'echet Meancited by 52
- 2021Learning the Predictability of the Futurecited by 48
- 2020Hierarchical Image Classification using Entailment Cone Embeddingscited by 46
- 2018Large-Margin Classification in Hyperbolic Spacecited by 41
- 2021Hyperbolic Busemann Learning with Ideal Prototypescited by 40
- 2021Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervisioncited by 39
- 2018Dynamic-structured Semantic Propagation Networkcited by 38
- 2020HyperText: Endowing FastText with Hyperbolic Geometrycited by 28
- 2019Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddingscited by 23
- 2019I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentationcited by 6
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Citing papers per year: 2022: 3; 2023: 22; 2024: 28; 2025: 22; 2026: 26.
101 papers.
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- 2023Hyperbolic Image-Text Representationscited by 132
- 2023Hyperbolic Deep Learning in Computer Vision: A Surveycited by 72
- 2024Compositional Entailment Learning for Hyperbolic Vision-Language Modelscited by 72
- 2023E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuningcited by 70
- 2022Hyperbolic Contrastive Learning for Visual Representations beyond Objectscited by 58
- 2023Fully Hyperbolic Convolutional Neural Networks for Computer Visioncited by 48
- 2023HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representationscited by 42
- 2023Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discoverycited by 39
- 2024Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Spacecited by 39
- 2023Poincar'e ResNetcited by 24
- 2023HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusioncited by 24
- 2023Hyperbolic Representation Learning: Revisiting and Advancingcited by 21
38 more
- 2025Hyperbolic Category Discoverycited by 20
- 2023Hyperbolic Audio-visual Zero-shot Learningcited by 19
- 2024Emergent Visual-Semantic Hierarchies in Image-Text Representationscited by 19
- 2023Hyperbolic Active Learning for Semantic Segmentation under Domain Shiftcited by 18
- 2022Hyperbolic Uncertainty Aware Semantic Segmentationcited by 17
- 2024HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Textscited by 17
- 2025Hyperbolic Safety-Aware Vision-Language Modelscited by 17
- 2025HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learningcited by 17
- 2023Hyperbolic Contrastive Learningcited by 15
- 2025Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometriescited by 15
- 2025Hyperbolic Dataset Distillationcited by 15
- 2022kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learningcited by 14
- 2024HyperVQ: MLR-based Vector Quantization in Hyperbolic Spacecited by 13
- 2025HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modulescited by 12
- 2024Improving Visual Recognition with Hyperbolical Visual Hierarchy Mappingcited by 11
- 2023Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstructioncited by 10
- 2024Understanding Hyperbolic Metric Learning through Hard Negative Samplingcited by 10
- 2024Hyperbolic Learning with Multimodal Large Language Modelscited by 10
- 2023Hyperbolic Random Forestscited by 9
- 2024Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar'e Ballcited by 9
- 2024HELM: Hierarchical Encoding for mRNA Language Modelingcited by 9
- 2024HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generationcited by 8
- 2024Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perceptioncited by 8
- 2024SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answeringcited by 7
- 2024A Fashion Item Recommendation Model in Hyperbolic Spacecited by 7
- 2025PHyCLIP: ℓ1-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learningcited by 7
- 2023HypLL: The Hyperbolic Learning Librarycited by 6
- 2023Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coincited by 6
- 2025Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Spacecited by 6
- 2023Hierarchical Explanations for Video Action Recognitioncited by 5
- 2023Compensation Learning in Semantic Segmentationcited by 5
- 2023HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypescited by 5
- 2025Is Hyperbolic Space All You Need for Medical Anomaly Detection?cited by 5
- 2023Hyperbolic Geometry in Computer Vision: A Surveycited by 4
- 2024When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weathercited by 4
- 2024Robust Hyperbolic Learning with Curvature-Aware Optimizationcited by 4
- 2025Continual Hyperbolic Learning of Instances and Classescited by 4
- 2026Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptationcited by 4
50 most cited of 101 All 101 (JSON)
- 2026Geometry-Aware Hyperbolic Residual-Quantized Variational Autoencoders22 Sep 2026
- 2026Hierarchical Prompt Learning for Hyperbolic Vision-Language Models21 Sep 2026
- 2026Hyperbolic Geometry for Open-World Object Detection in Remote Sensing Imagery9 Sep 2026
- 2026Hyperbolic Hierarchical Clustering for Visual Representation Learning24 Aug 2026
- 2026FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space21 Aug 2026
- 2026H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation7 Aug 2026
- 2026ProWorld: Progress-Aware Hyperbolic World Models for Long-Horizon Visual Goal Reaching3 Aug 2026
- 2026PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification27 Jul 2026
- 2026Group-Equivariant Poincar'e Convolutional Networks1 Jul 2026
- 2026HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding1 Jul 2026
- 2026SkelHCC: A Hyperbolic CLIP-Driven Cache Adaptation Framework for Skeleton-based One-Shot Action Recognition2 Jun 2026
- 2026Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection11 May 2026
38 more
- 2026MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching8 May 2026
- 2026Hyperbolic Concept Bottleneck Models7 May 2026
- 2026Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation4 May 2026
- 2026HSG: Hyperbolic Scene Graph19 Apr 2026
- 2026Lorentz Framework for Semantic Segmentation18 Apr 2026
- 2026Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models23 Mar 2026
- 2026A Hyperbolic Perspective on Hierarchical Structure in Object-Centric Scene Representations14 Mar 2026
- 2026LAtte: Hyperbolic Lorentz Attention for Cross-Subject EEG Classification11 Mar 2026
- 2026Intrinsic Lorentz Neural Network27 Feb 2026
- 2026Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptation24 Feb 2026
- 2026Comparing Euclidean and Hyperbolic K-Means for Generalized Category Discovery4 Feb 2026
- 2026HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis3 Feb 2026
- 2026Reducing Memorisation in Generative Models via Riemannian Bayesian Inference30 Jan 2026
- 2026Learning Action Hierarchies via Hybrid Geometric Diffusion5 Jan 2026
- 2025H2em: Learning Hierarchical Hyperbolic Embeddings for Compositional Zero-Shot Learning23 Dec 2025
- 2025LIHE: Linguistic Instance-Split Hyperbolic-Euclidean Framework for Generalized Weakly-Supervised Referring Expression Comprehension15 Nov 2025
- 2025PHyCLIP: ℓ1-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learning10 Oct 2025
- 2025Hyperbolic Multimodal Representation Learning for Biological Taxonomies22 Aug 2025
- 2025Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion31 Jul 2025
- 2025HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning23 Jul 2025
- 2025A Set-to-Set Distance Measure in Hyperbolic Space23 Jun 2025
- 2025Continual Hyperbolic Learning of Instances and Classes12 Jun 2025
- 2025Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors11 Jun 2025
- 2025CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities10 Jun 2025
- 2025HypeVPR: Exploring Hyperbolic Space for Perspective to Equirectangular Visual Place Recognition5 Jun 2025
- 2025Hyperbolic Dataset Distillation30 May 2025
- 2025Is Hyperbolic Space All You Need for Medical Anomaly Detection?27 May 2025
- 2025Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies18 May 2025
- 2025PiercingEye: Dual-Space Video Violence Detection with Hyperbolic Vision-Language Guidance26 Apr 2025
- 2025HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules11 Apr 2025
- 2025Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries11 Apr 2025
- 2025Hyperbolic Category Discovery8 Apr 2025
- 2025Hyperbolic Safety-Aware Vision-Language Models15 Mar 2025
- 2025Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection1 Mar 2025
- 2025Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space24 Feb 2025
- 2025Predicate Hierarchies Improve Few-Shot State Classification18 Feb 2025
- 2024Adversarial Attacks on Hyperbolic Networks2 Dec 2024
- 2024Klein Model for Hyperbolic Neural Networks22 Oct 2024
50 newest of 101 All 101 (JSON)
- 2024Compositional Entailment Learning for Hyperbolic Vision-Language Modelscited by 72
- 2025Hyperbolic Safety-Aware Vision-Language Modelscited by 17
- 2024Hyperbolic Learning with Multimodal Large Language Modelscited by 10
- 2025PHyCLIP: ℓ1-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learningcited by 7
- 2026Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Modelscited by 2
- 2026Hierarchical Prompt Learning for Hyperbolic Vision-Language Modelscited by 0
- 2026Hierarchical Prompt Learning for Hyperbolic Vision-Language Models21 Sep 2026
- 2026Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models23 Mar 2026
- 2025PHyCLIP: ℓ1-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learning10 Oct 2025
- 2025Hyperbolic Safety-Aware Vision-Language Models15 Mar 2025
- 2024Compositional Entailment Learning for Hyperbolic Vision-Language Models9 Oct 2024
- 2024Hyperbolic Learning with Multimodal Large Language Models9 Aug 2024
- 2023Hyperbolic Image-Text Representationscited by 132
- 2023Hyperbolic Deep Learning in Computer Vision: A Surveycited by 72
- 2023E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuningcited by 70
- 2022Hyperbolic Contrastive Learning for Visual Representations beyond Objectscited by 58
- 2023Fully Hyperbolic Convolutional Neural Networks for Computer Visioncited by 48
- 2023HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representationscited by 42
- 2023Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discoverycited by 39
- 2024Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Spacecited by 39
- 2023Poincar'e ResNetcited by 24
- 2023HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusioncited by 24
- 2023Hyperbolic Representation Learning: Revisiting and Advancingcited by 21
- 2025Hyperbolic Category Discoverycited by 20
12 most cited of 91 All 91 (JSON)
- 2026Geometry-Aware Hyperbolic Residual-Quantized Variational Autoencoders22 Sep 2026
- 2026Hyperbolic Geometry for Open-World Object Detection in Remote Sensing Imagery9 Sep 2026
- 2026Hyperbolic Hierarchical Clustering for Visual Representation Learning24 Aug 2026
- 2026FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space21 Aug 2026
- 2026H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation7 Aug 2026
- 2026PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification27 Jul 2026
- 2026Group-Equivariant Poincar'e Convolutional Networks1 Jul 2026
- 2026HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding1 Jul 2026
- 2026SkelHCC: A Hyperbolic CLIP-Driven Cache Adaptation Framework for Skeleton-based One-Shot Action Recognition2 Jun 2026
- 2026Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection11 May 2026
- 2026Hyperbolic Concept Bottleneck Models7 May 2026
- 2026Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation4 May 2026
12 newest of 91 All 91 (JSON)