Explainable Image Classification

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  1. ProtoSemImage: Image-Valued Prototypes with Deformable Row Alignment for Interpretable Document Classification

    Oct 8, 2026Mohammad Zare, Pirooz ShamsinejadbabakiText ClassificationPrototype-Based Classification

  2. CARE: Constrained Attention Refinement for Fine-Grained Visual Classification via Teacher-Student Distillation

    Oct 8, 2026Ruibo Wen, Hang Shao, Yiming LeiFine-Grained Image ClassificationExplainable Image Classification

  3. DisParQ: Self-Supervised Part Concepts for Interpretable Vision Foundation Models

    Oct 7, 2026Adam Pardyl, Siddhartha Gairola, Sukrut Rao +4Explainable Image ClassificationVision Foundation Models

  4. Beyond Mean Foils: Auditing Worst-Foil Specificity in Frozen CLIP Region Explanations

    Sep 23, 2026Kaixin Liu, Zhipeng Ye, Feng Jiang +2Explainable Image Classification

  5. MorphoSHAP: Rethinking the Unit of Attribution in Explanation for Deep Visual Models

    Sep 22, 2026Anirudh Prabhakaran, Alexandre Rocchi, Gianni FranchiFeature AttributionSHAP Feature Attribution

  6. When Superpixels Fail on Documents: A Study of Segmentation for LIME Explanations

    Sep 7, 2026Quentin Telnoff, Emanuela Boros, Mickaël Coustaty +3Explainable Artificial IntelligenceExplainable Image Classification

  7. OPAL: Orthonormal Prototype Alignment Learning for Interpretable Image Classification

    Aug 30, 2026Ilán Carretero, Gustavo Jesús Angulo, Rocío del Amor +1Prototype-Based ClassificationFine-Grained Image Classification

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

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

  9. Multi-Scale Fruit Capsules: Dilated Convolutions and Dynamic Routing for In-the-Wild Explainable Fruit Recognition

    Aug 20, 2026Subhankar Chattoraj, Sawon Pratiher, Samiran Das +1Fine-Grained Image ClassificationExplainable Image Classification

  10. Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations

    Aug 12, 2026AmirHossein Eshghi, Hamid Saadatfar, Seyyed Ali Hoseini +2Transformer InterpretabilityFeature Attribution

  11. RobustDefect-LLM: Explainable and Robustness-Aware Industrial Surface Defect Classification with Decision Support and AI-Assisted Reporting

    Aug 9, 2026Nazlıcan Düşünmez, Halûk GümüşkayaIndustrial InspectionExplainable Image Classification

  12. Explaining AI-Image Detection: What the Heatmap Actually Shows

    Jul 31, 2026Leonid Kuturin, Ilya Sotnikov, Mark Khusnutdinov +4Image Forgery DetectionDigital Image Forensics

  13. Contrastive Concept Importance: Explaining Pairwise Class Decisions Through Automatically Extracted Concept Representations

    Jul 30, 2026Roel Visser, Isaac Roberts, Barbara HammerFeature AttributionPairwise Comparison

  14. Explainable Deepfake Detection Challenge

    Jul 23, 2026Abhijeet Narang, Kartik Kuckreja, Shreya Ghosh +4Image Forgery DetectionExplainable Deepfake Detection

  15. What Pixels Are Enough? SEAMS: Sufficiency Saliency via MSE-Preservation Soft-Masks

    Jul 10, 2026Magdalena Trędowicz, Łukasz Struski, Arkadiusz Lewicki +4Transformer InterpretabilitySaliency Map Evaluation

  16. Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation

    Jul 8, 2026Ahsan Habib Akash, Dipkamal Bhusal, Stacey Jones +3Concept-Based ExplanationsNeural Network Interpretability

  17. ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for large-Scale Image Datasets

    Jul 8, 2026Abhay Kumar Pathak, Mrityunjay Chaubey, Manjari GuptaExplainable Artificial IntelligenceExplainable Image Classification

  18. A Good Initialization is All You Need for Faithful Visual Attribution

    Jul 7, 2026Zihan Gu, Jiayu Wang, Hua Zhang +1Feature AttributionPerturbation-Based Feature Attribution

  19. Beyond Heatmaps: Unsupervised Concept-Graph Reasoning for Interpretable Visual Explanation

    Jul 1, 2026Md Mohasin Hossain, Anar Amirli, Robert Leist +2Concept Bottleneck ModelsConcept-Based Explanations

  20. GLARE: A Natural Language Interface for Querying Global Explanations

    Jun 18, 2026Bhavan Vasu, Rajesh MangannavarExplainable Artificial IntelligenceExplainable Image Classification

  21. SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches

    Jun 16, 2026Wencan Zhang, Mario Michelessa, Xuejun Zhao +1Explainable Artificial IntelligenceSaliency Map Evaluation

  22. Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability

    Jun 13, 2026Hasibul Islam Sufi, Ridam Roy, Shayla Alam Setu +1Plant Disease ClassificationHybrid CNN-Transformer Architectures

  23. An Ensemble Deep Learning Approach for Reliable and Scalable Lemon Leaf Disease Classification

    Jun 12, 2026Shayan Abrar, Sudeepta Mandal, Abdul Awal Yasir +4Plant Disease ClassificationExplainable Image Classification

  24. CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification

    Jun 12, 2026Rafi Ahamed, Md. Abir Rahman, Tasnia Tarannum Roza +3Plant Disease ClassificationExplainable Image Classification

  25. Low-Magnification SEM May Suffice: Interpretable Deep Learning for Multi-Scale Fracture-Cause Classification in Zirconia-Toughened Alumina

    May 28, 2026Julian Schmid, Pawel Astankow, Tom Vater +3Materials ScienceExplainable Image Classification

  26. Explaining is Harder Than Predicting Alone: Evaluating Concept-based Explanations of MLLMs as ICL Visual Classifiers

    May 27, 2026Carmen Quiles-Ramírez, Leticia L. Rodríguez, Nicolás Martorell +1VLM EvaluationMultimodal Large Language Models

  27. Hoeffding Concept Bottleneck Models with Applications to Overhead Images

    May 22, 2026Clément Bénard, Manon Arfib, Christophe Labreuche +1Concept Bottleneck ModelsExplainable Image Classification

  28. Interpretable Computer Vision for Defect Detection in X-ray Tomography of Aerospace SiC/SiC Composites

    May 19, 2026Antonio Peña Corredor, Julien Lesseur, Romain Nunez +2Prototype-Based ClassificationInterpretable ML

  29. OCCAM: Open-set Causal Concept explAnation and Ontology induction for black-box vision Models

    May 18, 2026Chiara Maria Russo, Simone Carnemolla, Simone Palazzo +3Explainable Artificial IntelligenceConcept-Based Explanations