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Research

Papers for “image classification”

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

TitleAuthorsYearSource
Ferrograph image classificationPeng Peng, Jiugen Wang2020arxiv 2010.06777
From $\mathcal{O}(n^{2})$ to $\mathcal{O}(n)$ Parameters: Quantum Self-Attention in Vision Transformers for Biomedical Image ClassificationThomas Boucher, John Whittle, Evangelos B. Mazomenos2025arxiv 2503.07294
Hybrid Quantum-Classical Feature Extraction approach for Image Classification using Autoencoders and Quantum SVMsDonovan Slabbert, Francesco Petruccione2024arxiv 2410.18814
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image ClassificationAsmaa Abbas, Mohamed Gaber, Mohammed M. Abdelsamea2025arxiv 2505.01741
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image ClassificationZhang Qixiang, Yang Yuxiang, Zu Chen2024arxiv 2411.03041
Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected BuildingsKun Zhao, Yongkun Liu, Siyuan Hao2020arxiv 2010.01305
A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba ModelsMuhammad Ahmad, Salvatore Distifano, Adil Mehmood Khan2024arxiv 2404.14955
Medical Image Classification on Imbalanced Data Using ProGAN and SMA-Optimized ResNet: Application to COVID-19Sina Jahromi, Farshid Hajati, Alireza Rezaee2025arxiv 2512.24214
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep LearningYuexin Xiang, Tiantian Li, Wei Ren2021arxiv 2105.08876
DFE-IANet: A Method for Polyp Image Classification Based on Dual-domain Feature Extraction and Interaction AttentionWei Wang, Jixing He, Xin Wang2024arxiv 2407.20843
Modeling Multi-modal Cross-interaction for Multi-label Few-shot Image Classification Based on Local Feature SelectionKun Yan, Zied Bouraoui, Fangyun Wei2024arxiv 2412.13732
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image ClassificationPrakhar Ganesh2023arxiv 2311.14859
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification ModelsDong Su, Huan Zhang, Hongge Chen2018arxiv 1808.01688
Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image ClassificationYijin Huang, Pujin Cheng, Roger Tam2024arxiv 2403.07576
AHDMIL: Asymmetric Hierarchical Distillation Multi-Instance Learning for Fast and Accurate Whole-Slide Image ClassificationJiuyang Dong, Jiahan Li, Junjun Jiang2025arxiv 2508.05114
MDF-MLLM: Deep Fusion Through Cross-Modal Feature Alignment for Contextually Aware Fundoscopic Image ClassificationJason Jordan, Mohammadreza Akbari Lor, Peter Koulen2025arxiv 2509.21358
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic ExplanationsBin Wang, Wenbin Pei, Bing Xue2022arxiv 2211.15143
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methodsPaolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco2022arxiv 2209.07932
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image ClassificationAhmad Hassanpour, Amir Zarei, Khawla Mallat2024arxiv 2412.11951
DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image ClassificationMuazzem Hussain Khan, Tasdid Hasnain, Md. Jamil khan2026arxiv 2604.09468