Gradient-Weighted Class Activation Mapping

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  1. Physiologically Informed Digital Auscultation for Pneumonia Detection in Long-term Care Residents

    Sep 23, 2026Nicholas Rasmussen, Oleg Zaslavsky, Zih-Ling Wang +5Respiratory Sound ClassificationMultimorbidity

    Biobehavioral Nursing & Health Informatics, School of Nursing, University of Washington, 1959 NE Pacific St, Seattle, WA, USA. · School of Nursing, University of Washington, 1959 NE Pacific St, Seattle, WA, USA. · Electrical Engineering, University of Washington Bothell, 17827 113th Ave NE, Bothell, WA, USA. +2

  2. Transferring Visual Explanations: How Cross-Architecture Knowledge Distillation Affects Model Interpretability

    Sep 20, 2026Aleks Czufarow, Ihor BabinKnowledge DistillationInterpretability

    XIV High School of Stanislaw Staszic,Warsaw,Poland · Ukrainian Catholic University, Lviv, Ukraine

  3. A Quantitative Evaluation Framework for Temporal Explainability in Echocardiographic Video Segmentation

    Sep 7, 2026Jiyoo Noh, Jonathan H. ChanEchocardiographyGradient-Weighted Class Activation Mapping

    University of Toronto, Canada · King Mongkut’s University of Technology Thonburi, Thailand

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

    Aug 20, 2026Subhankar Chattoraj, Sawon Pratiher, Samiran Das +1Convolutional Neural NetworksFruit

    Dept. of Information Systems, University of Maryland Baltimore County, Baltimore, MD 21250, USA · Dept. of Electrical Engineering, Indian Institute of Technology Kharagpur, West Bengal 721302, India · Dept of Data Science and Engineering, Indian Institute of Science Education and Research Bhopal 462066, India +1

  5. 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 +2Gradient-Weighted Class Activation MappingClass Activation Mapping

    Department of Computer Engineering, University of Birjand, Iran · Department of Applied Mathematics and Computer Science Visual Computing, Technical University of Denmark, Denmark

  6. CAM-Guided Saliency Cutout and Image-Based Malware Classification

    Aug 12, 2026Yasaman Ebrahimi, Martin Jurecek, Mark StampGradient-Weighted Class Activation MappingDropout

    Department of Computer Science, San Jose State University · Faculty of Information Technology, Czech Technical University in Prague

  7. Explanation Stability of Test-Time Adaptation in Computational Pathology: A Large-Scale Benchmark

    Aug 7, 2026R. G. Bahumanya, Harshith V. M., Shreyank N. Gowda +1Computational PathologyTest-Time Adaptation

    Department of Computer Science and Engineering, R.V. College of Engineering, Bengaluru, India · School of Computer Science, University of Nottingham, Nottingham, United Kingdom

  8. HexMIL: Hierarchical Attention MIL for Ante-Hoc Explainable Detection of AI-Manipulated CT Volumes

    Aug 5, 2026Orazio Pontorno, Luca Guarnera, Zahid Akhtar +1Deepfake DetectionUnsupervised Detection

    Department of Mathematics and Computer Science, University of Catania, Catania, Italy · Department of Electrical and Computer Engineering, State University of New York Polytechnic Institute, Utica, NY, USA

  9. Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI

    Aug 5, 2026Casey Wall, Longwei Wang, Rodrigue Rizk +1Gradient-Weighted Class Activation MappingVision Transformer

    USD Artificial Intelligence Research, Department of Computer Science, University of South Dakota

  10. Does Explainability Transfer? A Controlled Benchmark of Attribution Methods on Vision Transformers and CNNs

    Aug 3, 2026Sathiyamohan Nishankar, Nethmi Pathirana, Pubudu Sanjeewani +2Self-Supervised Vision TransformersVision Transformer

    aFaculty of Computing, Sabaragamuwa University of Sri Lanka, Sri Lanka · bFaculty of Engineering, University of Moratuwa, Katubedda, Sri Lanka · cSchool of Computing Technologies, RMIT University, Melbourne, Australia +3

  11. HealthCAT: An Interpretable Encoder-only Transformer Framework for Health Indicator Prediction and Temporal Interpretation of Wearable Sensor Data

    Jul 30, 2026Xiaotong Yu, Joshua Y. Kim, HaeJin Lee +1Wearable PhysiologyReadmission Prediction

  12. Consistent Evidence, Robust Recognition: Faithful Attribution Regularization under Geometric Transformations

    Jul 26, 2026Xianghao Jiao, Ruoyu Chen, Wei Wang +6Gradient-Weighted Class Activation MappingRegularization

    School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China · University of Chinese Academy of Sciences, Beijing, China · School of Automation, Nanjing University of Information Science and Technology +2

  13. Gradient-Based Latent Decomposition Reveals Mechanisms of Feature Degradation in Weakly Supervised Mammography

    Jul 24, 2026Vinceline Bertrand, Ionut Cardei3D Masked AutoencodersGradient-Weighted Class Activation Mapping

    Florida Atlantic University, Boca Raton, FL, USA

  14. Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification

    Jul 23, 2026Kritanu Chattopadhyay, Sayanjit Singha Roy, Soumya ChatterjeeFundus ImagesCounterfactual Explanation

    Department of Mechanical Engineering, National Institute of Technology Durgapur, West Bengal, 713209, India · Department of Electrical Engineering, IIT Kanpur, Uttar Pradesh, 208016, India · Department of Electrical Engineering, National Institute of Technology Durgapur, West Bengal, 713209, India

  15. Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch

    Jul 22, 2026Renshu Gu, Jialiang Chen, Fei Gao +8Gradient-Weighted Class Activation MappingFeature Pyramid

    School of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, China · Hangzhou Institute of Technology, Xidian University, Hangzhou 311231, China · University of Yamanashi +3

  16. Position: Explanation Stability Is a Property of the Model Method Pair, Not the Model

    Jul 18, 2026Kabilan Elangovan, Daniel TingExplainabilityGradient-Weighted Class Activation Mapping

    Singapore Health Services and Singapore Eye Research Institute, Singapore.

  17. Anatomically Faithful but Temporally Blind: Auditing Attribution for Left-Ventricular Ejection-Fraction Estimation from Echocardiography

    Jul 15, 2026Hyunkyung Han, Min Jung KimLeft-Ventricular Ejection FractionEchocardiography

    aSchool of Integrated Medicine, Yonsei University, Seoul, Republic of Korea · bDepartment of Radiology, Research Institute of Radiologic Science, Yonsei University College of Medicine, Seoul, Republic of Korea

  18. Label-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification

    Jul 14, 2026Alaa Almouradi, Erchan AptoulaMultimodal Domain GeneralizationMulti-Label Classification

    Faculty of Engineering and Natural Sciences, Sabancı University, 34956 Istanbul, Türkiye

  19. Gradient-Skipping Relevance Propagation for Efficient Explainability of Vision Transformers

    Jul 11, 2026Christopher Buratti, Michele Marchetti, Federica Parlapiano +3Vision TransformerGradient-Weighted Class Activation Mapping

    DII, Polytechnic University of Marche · CHIMOMO, University of Modena and Reggio Emilia

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

    Jul 8, 2026Ahsan Habib Akash, Dipkamal Bhusal, Stacey Jones +3Gradient-Weighted Class Activation MappingFaithful Explanation

    West Virginia University, USA · Rochester Institute of Technology, USA · O Analytics +3

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

    Jul 1, 2026Md Mohasin Hossain, Anar Amirli, Robert Leist +2HeatmapGradient-Weighted Class Activation Mapping

    German Research Center for Artificial Intelligence · Saarland University, Saarbrücken, Germany · 1German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany +5

  22. Beyond Points: Spherical Distributional Part Prototypes for Interpretable Classification

    Jun 25, 2026Duarte Leão, Diogo Pereira Araújo, Catarina Barata +1Learnable PrototypesGradient-Weighted Class Activation Mapping

    Instituto Superior Técnico, Universidade de Lisboa · Carnegie Mellon University

  23. Few-class Fidelity: Evaluating Explanations of Real-conditions CNN classifiers with Optimized Perturbations

    Jun 23, 2026Wistan Marchadour, Pedro Soto Vega, Franck Vermet +1XaiExplainable Artificial Intelligence

    LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France · LMBA, CNRS, UMR 6205, Univ Brest, Brest, France

  24. Mix-QVLA: Task-Evidence-Aware Mixed-Precision Quantization of Vision-Language-Action Models

    Jun 17, 2026Navin Ranjan, Andreas SavakisMixed-Precision QuantizationPost-Training Quantization

    Rochester Institute of Technology Rochester, New York 14623, USA

  25. LLM-Based Visual Explanation Evaluation Framework for Assessing the Explainability of Facial Skin Disease Classification Models

    Jun 15, 2026Gyuyeon NaSkin Lesion ClassificationMedical Vision-Language Models

    AI and Business Analytics, Ewha Womans University, Seoul, Republic of Korea

  26. Assessing Reliability of Symbol Detection in Concept Bottleneck Models

    Jun 15, 2026Javier Fumanal-Idocin, Javier Andreu-PerezConcept Bottleneck ModelsExplainable Artificial Intelligence

    University of Essex, Wivenhoe Park, Essex, United Kingdom

  27. Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification

    Jun 10, 2026Veerendhra Kumar Dangeti, Xiao Gu, Ying Weng +1Electrocardiogram ClassificationTraining Time

    School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, United Kingdom · Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, United Kingdom · School of Computer Science, University of Nottingham Ningbo China, Ningbo, 315100, China

  28. Class-Specific Branch Attention for Mitigating Gradient Interference under Class Imbalance

    Jun 4, 2026Arush Singhal, Umang SoniImbalanced ClassificationClass Imbalance

    aThapar Institute of Engineering and Technology, Patiala, India · bNetaji Subhash University of Technology, New Delhi, India

  29. Attribution via Distributional Paths for Information Revelation

    Jun 2, 2026Kieran A. Murphy, Shameen ShresthaExplainabilityGradient-Weighted Class Activation Mapping

    New Jersey Institute of Technology

  30. An explainable hierarchical self attention-based approach for tremor detection in the time domain

    May 30, 2026Timothy Odonga, Jeanne M. Powell, Mark Saad +5Time-FrequencySeizure Detection

    Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, USA · Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA · Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA

  31. Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution

    May 19, 2026Soyeon Kim, Seongwoo Lim, Kyowoon Lee +1Gradient-Weighted Class Activation MappingVision Datasets

    Korea Advanced Institute of Science and Technology Seongnam, Gyeonggi-do, Republic of Korea · INEEJI Corp. Seongnam, Gyeonggi-do, Republic of Korea

  32. How to Evaluate and Refine your CAM

    May 14, 2026Luca Domeniconi, Alessandra Stramiglio, Michele Lombardi +1Gradient-Weighted Class Activation MappingExplainability

    University of Bologna, Bologna, Italy

  33. Architecture-Aware Explanation Auditing for Industrial Visual Inspection

    May 14, 2026Sibo Jia, Zihang Zhao, Kunrong LiGradient-Weighted Class Activation MappingInspection

    Dublin College, Beijing University of Technology, Beijing, P.R. China · College of Computer Science, Beijing University of Technology, P.R. China

  34. AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers

    May 12, 2026Raj Kiran Gupta KatakamGradient-Weighted Class Activation MappingFeature Learning

    Credit Karma, San Francisco, CA, USA

  35. FAME: Feature Activation Map Explanation on Image Classification and Face Recognition

    May 12, 2026Xinyi Zhang, Manuel GüntherGradient-Weighted Class Activation MappingClass Activation Mapping

    Department of Informatics, University of Zurich

  36. Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging

    May 11, 2026Zubair Faruqui, Rahul DubeyInterpretabilityGradient-Weighted Class Activation Mapping

    Department of Computer Science, Missouri State University

  37. FRInGe: Distribution-Space Integrated Gradients with Fisher--Rao Geometry

    May 7, 2026Gabriele Martino, Sebastian TschiatschekGradient-Weighted Class Activation MappingGradient

    Faculty of Computer Science / Doctoral School Computer Science University of Vienna Vienna, Austria · Faculty of Computer Science / ds:UniVie University of Vienna Vienna, Austria

  38. eXplaining to Learn (eX2L): Regularization Using Contrastive Visual Explanation Pairs for Distribution Shifts

    May 7, 2026Paulo Mario P. Medina, Jose Marie Antonio Miñoza, Sebastian C. IbañezDistribution ShiftsContrastive Learning

    Center for AI Research

  39. GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation

    May 6, 2026Raimondo FanaleShapley Additive ExplanationsGradient-Weighted Class Activation Mapping

    Universitas Mercatorum, Rome, Italy.

  40. Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution

    May 4, 2026Soyeon Kim, Seongwoo Lim, Kyowoon Lee +1Gradient-Weighted Class Activation MappingExplainability

    Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea · INEEJI, Seongnam, Korea · KAIST InnoCORE LLM, KAIST, Daejeon, Korea

  41. From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision Models

    May 1, 2026Yearim Kim, Sangyu Han, Nojun KwakVision Foundation ModelsGradient-Weighted Class Activation Mapping

    Seoul National University, Seoul 08826, South Korea

  42. Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane

    Apr 28, 2026Pahal D. Patel, Sanmay GangulyExplainabilityExplainable Artificial Intelligence

    Department of Physics, Indian Institute of Technology, Kanpur Uttar-Pradesh-208016, India

  43. From Pixels to Explanations: Interpretable Diabetic Retinopathy Grading with CNN-Transformer Ensembles, Visual Explainability and Vision-Language Models

    Apr 25, 2026Pir Bakhsh Khokhar, Carmine Gravino, Fabio Palomba +2Retinal ImagingFundus Images

    Department of Informatics, University of Salerno, Via Giovanni Paolo II, 132, Fisciano, 84084, Salerno, Italy · Department of Information Security and Communication Technology (IIK), Norwegian University of Science and Technology, Gjøvik, 2815, Norway

  44. On the Properties of Feature Attribution for Supervised Contrastive Learning

    Apr 24, 2026Leonardo Arrighi, Julia Eva Belloni, Aurélie Gallet +3Contrastive LearningGradient-Weighted Class Activation Mapping

    University of Trieste, Trieste, Italy · University of Groningen, Groningen, the Netherlands · University of Amsterdam, Amsterdam, the Netherlands +3

  45. Decision-Aware Attention Propagation for Vision Transformer Explainability

    Apr 20, 2026Sehyeong Jo, Gangjae Jang, Haesol ParkVision TransformerGradient-Weighted Class Activation Mapping

    Aarhus University · University of Colorado Boulder · KIST

  46. IncepDeHazeGAN: Novel Satellite Image Dehazing

    Apr 17, 2026Tejeswar Pokuri, Shivarth RaiSingle Image DehazingComputer Vision

    No Institute Given

  47. Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI

    Mar 17, 2026Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Alvaro Doria Dos Santos +7BeesYolo26

    São Carlos School of Engineering, University of São Paulo, São Carlos 13566590, SP, Brazil · Department of Ecology and Evolutionary Biology, Federal University of São Carlos, São Carlos 13565905, Brazil · Federal University of Tocantins, Porto Nacional, 77500000, Brazil +2

  48. Debunking Grad-ECLIP: A Comprehensive Study on Its Incorrectness and Fundamental Principles for Model Interpretation

    Date pendingYongjin Cui, Xiaohui FanGradient-Weighted Class Activation MappingCvpr

    Zhejiang University