Research

Papers for “image classification”

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

Title	Authors	Year	Source
Universal Semi-Supervised Learning for Medical Image Classification	Lie Ju, Yicheng Wu, Wei Feng	2023	arxiv 2304.04059
Balanced-MixUp for Highly Imbalanced Medical Image Classification	Adrian Galdran, Gustavo Carneiro, Miguel A. González Ballester	2021	arxiv 2109.09850
A Secure Fingerprinting Framework for Distributed Image Classification	Guowen Xu, Xingshuo Han, Anguo Zhang	2022	arxiv 2207.04668
Image Classification with Small Datasets: Overview and Benchmark	L. Brigato, B. Barz, L. Iocchi	2022	arxiv 2212.12478
Hierarchical Transfer Convolutional Neural Networks for Image Classification	Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan	2018	arxiv 1804.00021
Big Self-Supervised Models Advance Medical Image Classification	Shekoofeh Azizi, Basil Mustafa, Fiona Ryan	2021	arxiv 2101.05224
On the Impact of Data Quality on Image Classification Fairness	Aki Barry, Lei Han, Gianluca Demartini	2023	arxiv 2305.01595
Deep learning and hand-crafted features for virus image classification	Loris Nanni, Eugenio De Luca, Marco Ludovico Facin	2020	arxiv 2011.06123
The More You Know: Using Knowledge Graphs for Image Classification	Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta	2016	arxiv 1612.04844
Learning to Obstruct Few-Shot Image Classification over Restricted Classes	Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh	2024	arxiv 2409.19210
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information	Lingfeng Yang, Xiang Li, Renjie Song	2022	arxiv 2203.03253
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification	Jianzhe Lin, Tianze Yu, Z. Jane Wang	2021	arxiv 2109.02688
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI	Zhengdong Li, Frederick Ziyang Hong, C. Patrick Yue	2024	arxiv 2412.20974
The Effectiveness of Data Augmentation in Image Classification using Deep Learning	Luis Perez, Jason Wang	2017	arxiv 1712.04621
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations	Junjie Nan, Jianing Li, Wei Chen	2025	arxiv 2510.14025
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification	Brendan Hogan, Anmol Kabra, Felipe Siqueira Pacheco	2024	arxiv 2410.21480
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up	Weifeng Ge, Xiangru Lin, Yizhou Yu	2019	arxiv 1903.02827
WSS-CL: Weight Saliency Soft-Guided Contrastive Learning for Efficient Machine Unlearning Image Classification	Thang Duc Tran, Thai Hoang Le	2025	arxiv 2508.04308
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise	Yeonguk Yu, Minhwan Ko, Sungho Shin	2024	arxiv 2412.00150
MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN	Nafiz Fahad, Fariha Jahan, Md Kishor Morol	2024	arxiv 2411.01163

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