mlsanityData to 7 Oct 2026

Hierarchical Image Classification using Entailment Cone Embeddings

arXiv 2004.03459 ↗First posted 2 Apr 2020cs.CV cs.LG stat.MLcited by 46

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Abstract (arXiv)

Image classification has been studied extensively, but there has been limited work in using unconventional, external guidance other than traditional image-label pairs for training. We present a set of methods for leveraging information about the semantic hierarchy embedded in class labels. We first inject label-hierarchy knowledge into an arbitrary CNN-based classifier and empirically show that availability of such external semantic information in conjunction with the visual semantics from images boosts overall performance. Taking a step further in this direction, we model more explicitly the label-label and label-image interactions using order-preserving embeddings governed by both Euclidean and hyperbolic geometries, prevalent in natural language, and tailor them to hierarchical image classification and representation learning. We empirically validate all the models on the hierarchical ETHEC dataset.

Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Apr 2020.

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Citing papers per year: 2021: 8; 2022: 7; 2023: 8; 2024: 6; 2025: 9; 2026: 8.

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  1. 2022Hyperbolic Image Segmentationcited by 101
  2. 2023Hyperbolic Deep Learning in Computer Vision: A Surveycited by 72
  3. 2021Learning the Predictability of the Futurecited by 48
  4. 2024Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Spacecited by 39
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  6. 2023HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understandingcited by 21
  7. 2023From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understandingcited by 19
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  9. 2024HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Textscited by 17
  10. 2024Learning Structured Representations with Hyperbolic Embeddingscited by 16
  11. 2021Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognitioncited by 13
  12. 2025Taxonomy-Aware Evaluation of Vision-Language Modelscited by 11
34 more
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  4. 2023Geometric Relational Embeddings: A Surveycited by 8
  5. 2024Learning Visual Hierarchies in Hyperbolic Space for Image Retrievalcited by 8
  6. 2022A Survey of Neural Treescited by 7
  7. 2025Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Spacecited by 6
  8. 2021Digital Taxonomist: Identifying Plant Species in Community Scientists' Photographscited by 4
  9. 2022What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliabilitycited by 4
  10. 2022A Capsule Network for Hierarchical Multi-Label Image Classificationcited by 4
  11. 2025Continual Hyperbolic Learning of Instances and Classescited by 4
  12. 2025One Swallow Does Not Make a Summer: Understanding Semantic Structures in Embedding Spacescited by 4
  13. 2021United We Learn Better: Harvesting Learning Improvements From Class Hierarchies Across Taskscited by 3
  14. 2021Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifierscited by 3
  15. 2021Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shiftcited by 3
  16. 2022All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)cited by 3
  17. 2024Adversarial Attacks on Hyperbolic Networkscited by 3
  18. 2023Unsupervised Feature Learning with Emergent Data-Driven Prototypicalitycited by 2
  19. 2025Hyperbolic Large Language Modelscited by 2
  20. 2022Is Medieval Distant Viewing Possible? : Extending and Enriching Annotation of Legacy Image Collections using Visual Analyticscited by 1
  21. 2025Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectorscited by 1
  22. 2025Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuringcited by 1
  23. 2021Graceful Degradation and Related Fieldscited by 0
  24. 2023Enhancing Classification with Hierarchical Scalable Query on Fusion Transformercited by 0
  25. 2025HMID-Net: An Exploration of Masked Image Modeling and Knowledge Distillation in Hyperbolic Spacecited by 0
  26. 2025Native Hierarchical and Compositional Representations with Subspace Embeddingscited by 0
  27. 2026Learning Action Hierarchies via Hybrid Geometric Diffusioncited by 0
  28. 2026HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysiscited by 0
  29. 2026Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddingscited by 0
  30. 2026MAPLE: Multi-Path Adaptive Propagation with Level-Aware Embeddings for Hierarchical Multi-Label Image Classificationcited by 0
  31. 2026Hyperbolic Concept Bottleneck Modelscited by 0
  32. 2026Label Granularity Skew in Federated Learning with Hierarchical Image Classificationcited by 0
  33. 2026Hierarchical Prompt Learning for Hyperbolic Vision-Language Modelscited by 0
  34. 2026Geometry-Aware Hyperbolic Residual-Quantized Variational Autoencoderscited by 0