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Papers for “image classification”

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

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TitleAuthorsYearSource
DDS-NAS: Dynamic Data Selection within Neural Architecture Search via On-line Hard Example Mining applied to Image ClassificationMatt Poyser, Toby P. Breckon2025arxiv 2506.14667
GMAT: Grounded Multi-Agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image ClassificationNgoc Bui Lam Quang, Nam Le Nguyen Binh, Thanh-Huy Nguyen2025arxiv 2508.01293
The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification ModelsPartha Shah, Durva Sankhe, Maariyah Rashid2025arxiv 2509.11184
A Tutorial on Explainable Image Classification for Dementia Stages Using Convolutional Neural Network and Gradient-weighted Class Activation MappingKevin Kam Fung Yuen2024arxiv 2408.10572
MsaMIL-Net: An End-to-End Multi-Scale Aware Multiple Instance Learning Network for Efficient Whole Slide Image ClassificationJiangping Wen, Jinyu Wen, Meie Fang2025arxiv 2503.08581
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level TeacherHongyi Wang, Luyang Luo, Fang Wang2023arxiv 2312.01099
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image ClassificationFaxian Cao, Zhijing Yang, Jinchang Ren2017arxiv 1709.03792
A Partially Supervised Bayesian Image Classification Model with Applications in Diagnosis of Sentinel Lymph Node Metastases in Breast CancerYing Zhu, Tom Fearn, D.Wayne Chicken2017arxiv 1712.09853
F^2TTA: Free-Form Test-Time Adaptation on Cross-Domain Medical Image Classification via Image-Level Disentangled Prompt TuningWei Li, Jingyang Zhang, Lihao Liu2025arxiv 2507.02437
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image ClassificationLinhao Qu, Xiaoyuan Luo, Kexue Fu2023arxiv 2305.17891
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classificationQi Lai, Jianhang Zhou, Yanfen Gan2022arxiv 2209.02625
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image ClassificationMohammad Reza Taesiri, Giang Nguyen, Sarra Habchi2023arxiv 2304.05538
Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss under the hierarchical max-pooling modelMichael Kohler, Sophie Langer2020arxiv 2011.13602
Balanced Multi-Task Attention for Satellite Image Classification: A Systematic Approach to Achieving 97.23% Accuracy on EuroSAT Without Pre-TrainingAditya Vir2025arxiv 2510.15527
MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image ClassificationShuang He, Haitong Tang, Xia Lu2021arxiv 2110.03346
A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble MethodSambit Mallick, Snigdha Paul, Anindya Sen2024arxiv 2404.02447
Demonstration of the common dual-channel feature decoupling characteristic of front-door mediation causal inference methods in whole-slice image classificationZhirui Zhang, Tianhang Nan, Yong Ding2026arxiv 2607.12376
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask LearningKhashayar Namdar, Partoo Vafaeikia, Farzad Khalvati2022arxiv 2208.10390
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image ClassificationsLijun Gong, Kai Ma, Yefeng Zheng2020arxiv 2007.09979
A Comparison and Evaluation of Fine-tuned Convolutional Neural Networks to Large Language Models for Image Classification and Segmentation of Brain Tumors on MRIFelicia Liu, Jay J. Yoo, Farzad Khalvati2025arxiv 2509.10683