Research

Papers for “image classification”

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

Title	Authors	Year	Source
T-DuMpRa: Teacher-guided Dual-path Multi-prototype Retrieval Augmented framework for fine-grained medical image classification	Zixuan Tang, Shen Zhao	2026	arxiv 2604.17360
ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification	Zuzheng Kuang, Haixia Bi, Chen Xu	2025	arxiv 2506.01040
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach	Haoyuan Chen, Chen Li, Xiaoyan Li	2022	arxiv 2206.03368
ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals	Milad Sikaroudi, Maryam Hosseini, Shahryar Rahnamayan	2023	arxiv 2308.03936
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification	Ye Xu, Ya Gao, Xiaorong Qiu	2024	arxiv 2403.14137
One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification	Afsaneh Mahanipour, Hana Khamfroush	2026	arxiv 2607.20641
Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification	Guillermo Rubiños Rodríguez, Martín Ottavianelli, Mateo Alonso	2026	arxiv 2607.21186
When the Small-Loss Trick is Not Enough: Multi-Label Image Classification with Noisy Labels Applied to CCTV Sewer Inspections	Keryan Chelouche, Marie Lachaize, Marine Bernard	2024	arxiv 2410.07689
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification	Jiawei Mao, Shujian Guo, Yuanqi Chang	2023	arxiv 2305.05871
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification	Zhiyuan Cai, Li Lin, Huaqing He	2022	arxiv 2203.04614
Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models	Md Zahangir Alom, Quynh T. Tran, Brent A. Orr	2024	arxiv 2401.11062
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification	Naif Alkhunaizi, Faris Almalik, Rouqaiah Al-Refai	2024	arxiv 2407.11573
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification	Marianne de Vriendt, Philip Sellars, Angelica I Aviles-Rivero	2020	arxiv 2003.06451
Natural Image Classification via Quasi-Cyclic Graph Ensembles and Random-Bond Ising Models at the Nishimori Temperature	V.S. Usatyuk, D.A. Sapozhnikov, S.I. Egorov	2025	arxiv 2508.18717
Single-Photon Image Classification	Thomas Fischbacher, Luciano Sbaiz	2020	arxiv 2008.05859
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification	Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu	2018	arxiv 1807.11245
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification	Wenkai Liang, Yan Wu, Ming Li	2021	arxiv 2105.04799
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification	Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee	2021	arxiv 2106.02864
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods	Lambert Schomaker	2019	arxiv 1904.08421
Image Classification at Supercomputer Scale	Chris Ying, Sameer Kumar, Dehao Chen	2018	arxiv 1811.06992

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