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Papers for “image classification”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

TitleAuthorsYearSource
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image ClassificationShahabedin Nabavi, Kian Anvari Hamedani, Mohsen Ebrahimi Moghaddam2024arxiv 2403.11226
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification TasksMeghna P Ayyar, Jenny Benois-Pineau, Akka Zemmari2021arxiv 2104.02548
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationMuhammad Ahmad, Manuel Mazzara, Salvatore Distifano2024arxiv 2404.14944
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual DataWeijie He, Tong Zhou, Yanlin Xiang2024arxiv 2412.20345
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classificationArthur Thuy, Dries F. Benoit2024arxiv 2403.10182
Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image ClassificationMichael Schulze, Nikolas Ebert, Laurenz Reichardt2025arxiv 2501.10089
A New Perspective to Boost Vision Transformer for Medical Image ClassificationYuexiang Li, Yawen Huang, Nanjun He2023arxiv 2301.00989
I-CEE: Tailoring Explanations of Image Classification Models to User ExpertiseYao Rong, Peizhu Qian, Vaibhav Unhelkar2023arxiv 2312.12102
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification ModelsGrace Guo, Lifu Deng, Animesh Tandon2024arxiv 2404.16174
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image ClassificationLiang Qu, Cunze Wang, Yuhui Shi2024arxiv 2404.15585
PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random FieldHaixia Bi, Jing Yao, Zhiqiang Wei2020arxiv 2009.05942
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image ClassificationYixin Li, Xinran Wu, Chen Li2021arxiv 2102.10499
Exploring the Equivalence of Closed-Set Generative and Real Data Augmentation in Image ClassificationHaowen Wang, Guowei Zhang, Xiang Zhang2025arxiv 2508.09550
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised LearningBowen Tian, Songning Lai, Lujundong Li2024arxiv 2409.03192
MSA-DCNN: A Data-Efficient Multi-Scale Attention Deformable CNN for Medical Image ClassificationHamza Hussaini, Shahana Bano, Eyad Elyan2026arxiv 2607.06083
Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted AugmentationFarjana Yesmin2025arxiv 2510.16072
An empirical study on the effects of different types of noise in image classification tasksGabriel B. Paranhos da Costa, Welinton A. Contato, Tiago S. Nazare2016arxiv 1609.02781
On the ability of CNNs to extract color invariant intensity based features for image classificationPradyumna Elavarthi, James Lee, Anca Ralescu2023arxiv 2307.06500
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image ClassificationPrajit Sengupta, Islem Rekik2025arxiv 2509.10510
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image ClassificationVanika Singhal, Hemant K. Aggarwal, Snigdha Tariyal2019arxiv 1912.10803