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Papers for “image classification”

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

TitleAuthorsYearSource
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image ClassificationBin Wang, Yanan Sun, Bing Xue2018arxiv 1808.06661
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial VehiclesChristos Kyrkou, Theocharis Theocharides2019arxiv 1906.08716
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten BattlefieldDou Goodman, Tao Wei2019arxiv 1906.07997
Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision TransformersLukman Jibril Aliyu, Umar Sani Muhammad, Bilqisu Ismail2025arxiv 2507.21364
Analysis-synthesis model learning with shared features: a new framework for histopathological image classificationXuelu Li, Vishal Monga, U. K. Arvind Rao2017arxiv 1712.08227
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?Umaima Rahman, Raza Imam, Mohammad Yaqub2024arxiv 2409.02729
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch CurationOzgu Goksu, Nicolas Pugeault2024arxiv 2403.19579
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile ApplicationsKayne Uriel K. Rodrigo, Jerriane Hillary Heart S. Marcial, Samuel C. Brillo2024arxiv 2412.07182
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image ClassificationSaurabh Agarwal, K. V. Arya, Yogesh Kumar Meena2024arxiv 2401.00728
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and PneumoniaEdward Verenich, Alvaro Velasquez, Nazar Khan2020arxiv 2008.02866
Toward Simple and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept RelevanceYuliia Kaidashova, Bettina Finzel, Ute Schmid2025arxiv 2506.23975
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image ClassificationZakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber2021arxiv 2108.10709
A Simple Framework to Quantify Different Types of Uncertainty in Deep Neural Networks for Image ClassificationAria Khoshsirat2020arxiv 2011.08712
A Collaborative Framework for Quantum Optimisation and Quantum Neural Networks: Credit Feature Selection and Image ClassificationJiaNing Long, Xuechen Liang2025arxiv 2509.11110
A Lightweight Medical Image Classification Framework via Self-Supervised Contrastive Learning and Quantum-Enhanced Feature ModelingJingsong Xia, Siqi Wang2026arxiv 2601.16608
Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image ClassificationBorja Aizpurua, Sukhbinder Singh, Román Orús2025arxiv 2509.06653
Adaptive receptive field-based spatial-frequency feature reconstruction network for fine-grained few-shot image classificationLinyue Zhang, Wenyi Zeng, Zicheng Pan2026arxiv 2604.16936
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image ClassificationXuerong Zhang, Li Huang, Jing Lv2024arxiv 2407.03596
A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing DataAryan Vats, Manan Suri2023arxiv 2310.09994
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationDequan Wang, Xiaosong Wang, Lilong Wang2023arxiv 2306.09579