Research

Papers for “image classification”

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

Title	Authors	Year	Source
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching	Quande Liu, Hongzheng Yang, Qi Dou	2021	arxiv 2106.08600
Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes	Bhushan Atote, Victor Sanchez	2024	arxiv 2408.04606
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification	Kexin Di, Xiuxing Li, Yuyang Han	2025	arxiv 2503.07396
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification	Yibo Miao, Yu Lei, Feng Zhou	2024	arxiv 2404.00312
Food Image Classification and Segmentation with Attention-based Multiple Instance Learning	Valasia Vlachopoulou, Ioannis Sarafis, Alexandros Papadopoulos	2023	arxiv 2308.11452
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification	Yanlun Tu, Houchao Lei, Wei Long	2021	arxiv 2103.09764
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification	Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera	2023	arxiv 2302.08909
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification	Xiang Bai, Mingkun Yang, Pengyuan Lyu	2017	arxiv 1704.04613
Quantum Methods for Neural Networks and Application to Medical Image Classification	Jonas Landman, Natansh Mathur, Yun Yvonna Li	2022	arxiv 2212.07389
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints	Peter Röseler, Oliver Schaudt, Helmut Berg	2025	arxiv 2505.05957
Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?	Robin Hesse, Doğukan Bağc\i, Bernt Schiele	2025	arxiv 2503.17110
Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification	Chuanzheng Gong, Feng Gao, Junyan Lin	2026	arxiv 2604.27323
MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness	Yuto Matsuo, Yoshihiro Fukuhara, Yuki M. Asano	2026	arxiv 2603.25109
Learning To Focus: Anatomy-Guided Attention Regularization for Medical Image Classification	Tonmoy Hossain, Atiqur Rahman, Farhana Hossain Swarnali	2026	arxiv 2607.10851
Representation Trajectories Matters: Complementary Evidence for OOD Detection and Image Classification	Ignacio M. De la Jara, Cristian Rodriguez-Opazo, Hamed Damirchi	2026	arxiv 2607.26565
Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification	W. H. Huang	2020	arxiv 2010.08087
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection	Dongsu Song, Daehwa Ko, Jay Hoon Jung	2025	arxiv 2502.07821
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation	Lars Schmarje, Vasco Grossmann, Claudius Zelenka	2022	arxiv 2207.06214
Security Evaluation of Compressible Image Encryption for Privacy-Preserving Image Classification against Ciphertext-only Attacks	Tatsuya Chuman, Hitoshi Kiya	2022	arxiv 2207.08109
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme	Jayasree Saha, Yuvraj Khanna, Jayanta Mukherjee	2020	arxiv 2001.11198

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