Hierarchical Classification

Overview

Hierarchical classification studies how models can use label taxonomies to make predictions that are useful at both coarse and fine levels. Common approaches add hierarchy-aware losses, separate prediction heads, graph or geometric label representations, and coarse-to-fine decision procedures to standard classifiers. These methods are used in settings such as medical diagnosis, image and text recognition, and large code or species taxonomies, where errors between nearby classes may be less serious than errors across broad groups. Open challenges include preventing early mistakes from cascading, handling incomplete or shifting labels, and balancing fine-grained accuracy with consistency, calibration, and safe fallback to broader categories.

Latest papers

CardsList

89 papers7 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. A Hierarchical Method for Environmental Sounds Recognition in Complex Acoustic Scenes

    Oct 26, 2026Zhouwen Li, Haijun Lin, Bowen Lv +1Audio ClassificationHierarchical Classification

  2. MYOPIA: Understanding the Limits of Tree-Based Reasoning in Vision-Language Models

    Oct 15, 2026Islam Mesabah, Sary Elmansoury, Gerrit Großmann +2VLM ReasoningVLM Evaluation

  3. OntoAR-HAR: Ontology-Guided Agentic RAG with Personalized Memory for Human Activity Recognition

    Oct 11, 2026Xiangqing Lu, Tao Zhu, Liang Yu +6Human Activity RecognitionRetrieval-Augmented Classification

  4. Multi-Crop Leaf Disease Recognition: A Unified Benchmark and Cross-Region Study

    Oct 3, 2026Rosemary Nalwanga, Sebastian Bunda, Godliver Owomugisha +2Plant Disease ClassificationCross-Domain Generalization

  5. GeoGAT: Bidirectional Temporal Sampling Meets Hierarchical Graph Attention for Global Video Geo-localization

    Sep 30, 2026Junchao Cui, Xuanzi Ma, Wenqi Shi +4Hierarchical Classification

  6. Hierarchical Utility Calibration for Structured Multiclass Decisions

    Sep 29, 2026Futoshi Futami, Jerry Huang, Ichiro TakeuchiProbability CalibrationMulticlass Classification

  7. Evaluating Hierarchy-Aware Deep Learning for the Recognition of Tironian Notes

    Sep 28, 2026Yule Kang, Thomas Gorges, Janne van der Loop +4Hierarchical ClassificationOptical Character Recognition

  8. CFCH: Coarse-Fine Collaborative Hierarchical Learning for Anterior Segment Disease Analysis

    Sep 26, 2026Peng Wang, Haohan Zou, Yanlin Wu +3Hierarchical ClassificationMedical Image Classification

  9. AraGenre 2026: A Hierarchical Definition-Guided Arabic Genre Classification Shared Task

    Sep 23, 2026Mo El-Haj, Saad Ezzini, Shadi Abudalfa +3Hierarchical ClassificationArabic NLP

  10. Hierarchical Prompt Learning for Hyperbolic Vision-Language Models

    Sep 21, 2026Andro Erdelez, Pascal Mettes, Behzad BozorgtabarVLM AdaptationVision-Language Models

  11. Signal-Informed Temporal Routing for Vinyl Defect Regime Detection

    Sep 19, 2026Yi-Hung Kan, Homayoon BeigiFault DetectionAudio Editing

  12. HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology

    Sep 11, 2026Afshin Bozorgpour, Peter Schüffler, Edgar Jost +1Computational PathologyHierarchical Classification

  13. Deep learning from the crowd Fundamentals of morphological galaxy classification

    Sep 6, 2026Luis Enrique Sucar, Carlos del Burgo, Jonathan Serrano-PérezHierarchical ClassificationConvolutional Neural Networks

  14. Hierarchical Channel Stacking: A Structured Decision Framework for AI-Generated Image Detection

    Aug 27, 2026Saifullah Shoaib, Akash Borigi, Rupendra Lekkala +5Hierarchical ClassificationExplainable Image Classification

  15. Hierarchy-Aware Supervised Uncertainty Estimation for Black-box LLM Taxonomic Reasoning

    Aug 24, 2026Shuting Xie, Nathaniel Lesperance, Graham W. TaylorBiodiversity MonitoringUncertainty Quantification

  16. ChiroEcho: extending automated bat vocalisation classification beyond the learned taxonomy

    Aug 18, 2026Burooj Ghani, Welmoed Eversteijn, Milan van Hirtum +4ClassificationBioacoustics

  17. TEAMMix: Taxonomy Enrichment Augmentation and Minority-augmented Mixing Strategy for LLM-enhanced Weak-Supervised Hierarchical Text Classification

    Aug 11, 2026Jian Zhang, Zhuohao Yang, Songlin Lei +6Class-Imbalanced LearningHierarchical Classification

  18. Label Granularity Skew in Federated Learning with Hierarchical Image Classification

    Aug 10, 2026Jaeheon Kim, Hokeun Kim, Bong Jun ChoiHierarchical ClassificationFederated Fine-Tuning

  19. Calling the Bluff: Detecting Ever-Shifting Harmful Chat Dialogue via Ordered Reasoning Chain Regularization

    Aug 9, 2026Haojie Yu, Ziyou Jiang, Dandan Wang +6Hierarchical ClassificationLanguage Model Safety Evaluation

  20. SCALE: Scientific Concept Aggregation via LLMs and Embeddings for Fine-Grained Taxonomy Extension

    Aug 7, 2026Daniele Raimondi, Feichi Lu, Oliver Grun +2Hierarchical ClassificationKnowledge Representation

  21. Deep learning-based hierarchical insect classification using camera trap imagery

    Jul 30, 2026Zaki Mahfoud, Juan A. Chiavassa, Simon Walther +2Hierarchical ClassificationWildlife Monitoring

  22. FlexiGrad: Adaptive Gradient Modulation for Hierarchical Fine-Grained Classification

    Jul 20, 2026Zilu Zhou, Dongliang Chang, Junhan Chen +1Hierarchical ClassificationGradient Interference

  23. Hierarchy-Aware and Anatomy-Guided Learning for Lung Ultrasound Video Classification

    Jul 20, 2026Alya Almsouti, Lotfi Mecharbat, Noha Aboukhater +5Hierarchical ClassificationMedical Image Classification

  24. Hierarchical Specialised Ensembles for Classification of Zebrafish Phenotypes Using the Selected Image Recognition Methods

    Jul 17, 2026Piotr S. Maciąg, Monika Maciąg, Magdalena MajdanHierarchical ClassificationMulti-Label Classification