Research

Papers for “image classification”

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

Title	Authors	Year	Source
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification	Philip Sellars, Angelica Aviles-Rivero, Carola-Bibiane Schönlieb	2019	arxiv 1903.06548
Multimodal Medical Image Classification via Synergistic Learning Pre-training	Qinghua Lin, Guang-Hai Liu, Zuoyong Li	2025	arxiv 2509.17492
Weakly-supervised Generative Adversarial Networks for medical image classification	Jiawei Mao, Xuesong Yin, Yuanqi Chang	2021	arxiv 2111.14605
Subgraph Clustering and Atom Learning for Improved Image Classification	Aryan Singh, Pepijn Van de Ven, Ciarán Eising	2024	arxiv 2407.14772
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks	Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique	2024	arxiv 2402.06249
Interpretable Image Classification via Non-parametric Part Prototype Learning	Zhijie Zhu, Lei Fan, Maurice Pagnucco	2025	arxiv 2503.10247
Metastatic Cancer Image Classification Based On Deep Learning Method	Guanwen Qiu, Xiaobing Yu, Baolin Sun	2020	arxiv 2011.06984
Fusing CNNs and statistical indicators to improve image classification	Javier Huertas-Tato, Alejandro Martín, Julián Fierrez	2020	arxiv 2012.11049
Attention-Based Chaotic Self-Supervision for Medical Image Classification	Joao Batista Florindo, Amanda Pontes de Oliveira Ornelas	2026	arxiv 2605.04985
Neuron Incidence Redistribution for Fairness in Medical Image Classification	Abin Shoby, Lyle John Palmer, Nikhil Cherian Kurian	2026	arxiv 2605.19393
Tag-based Semantic Features for Scene Image Classification	Chiranjibi Sitaula, Yong Xiang, Anish Basnet	2019	arxiv 1909.09999
Privacy-Preserving Image Classification in the Local Setting	Sen Wang, J.Morris Chang	2020	arxiv 2002.03261
Fisher Discriminative Least Squares Regression for Image Classification	Zhe Chen, Xiao-Jun Wu, Josef Kittler	2019	arxiv 1903.07833
Attention-Aware Noisy Label Learning for Image Classification	Zhenzhen Wang, Chunyan Xu, Yap-Peng Tan	2020	arxiv 2009.14757
Learning Subclass Representations for Visually-varied Image Classification	Xinchao Li, Peng Xu, Yue Shi	2016	arxiv 1601.02913
Multiview Manifold Evidential Fusion for PolSAR Image Classification	Junfei Shi, Haojia Zhang, Haiyan Jin	2025	arxiv 2510.11171
Variational Quantum Neural Networks (VQNNS) in Image Classification	Meghashrita Das, Tirupati Bolisetti	2023	arxiv 2303.05860
Noise Adaption Network for Morse Code Image Classification	Xiaxia Wang, XueSong Leng, Guoping Xu	2024	arxiv 2410.19180
FedDropoutAvg: Generalizable federated learning for histopathology image classification	Gozde N. Gunesli, Mohsin Bilal, Shan E Ahmed Raza	2021	arxiv 2111.13230
Deep Modeling and Optimization of Medical Image Classification	Yihang Wu, Muhammad Owais, Reem Kateb	2025	arxiv 2505.23040

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