Research

Papers for “image classification”

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

Title	Authors	Year	Source
Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification	Sid Ahmed Fezza, Yassine Bakhti, Wassim Hamidouche	2019	arxiv 1906.00204
Vision Eagle Attention: a new lens for advancing image classification	Mahmudul Hasan	2024	arxiv 2411.10564
Training-free Test-time Improvement for Explainable Medical Image Classification	Hangzhou He, Jiachen Tang, Lei Zhu	2025	arxiv 2506.18070
Two-stage Image Classification Supervised by a Single Teacher Single Student Model	Jianhang Zhou, Shaoning Zeng, Bob Zhang	2019	arxiv 1909.12111
Lightweight Vision Transformer with Window and Spatial Attention for Food Image Classification	Xinle Gao, Linghui Ye, Zhiyong Xiao	2025	arxiv 2509.18692
Robust Training of Social Media Image Classification Models for Rapid Disaster Response	Firoj Alam, Tanvirul Alam, Muhammad Imran	2021	arxiv 2104.04184
A survey of active learning algorithms for supervised remote sensing image classification	Devis Tuia, Michele Volpi, Loris Copa	2021	arxiv 2104.07784
Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models	Mobina Mansoori, Sajjad Shahabodini, Farnoush Bayatmakou	2025	arxiv 2505.19779
Hyperspectral Image Classification in the Presence of Noisy Labels	Junjun Jiang, Jiayi Ma, Zheng Wang	2018	arxiv 1809.04212
Object-Part Attention Model for Fine-grained Image Classification	Yuxin Peng, Xiangteng He, Junjie Zhao	2017	arxiv 1704.01740
NOAH: Learning Pairwise Object Category Attentions for Image Classification	Chao Li, Aojun Zhou, Anbang Yao	2024	arxiv 2402.02377
Image classification and retrieval with random depthwise signed convolutional neural networks	Yunzhe Xue, Usman Roshan	2018	arxiv 1806.05789
Optimizing MCMC-Driven Bayesian Neural Networks for High-Precision Medical Image Classification in Small Sample Sizes	Mingyu Sun	2024	arxiv 2409.12355
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?	Bidur Khanal, Binod Bhattarai, Bishesh Khanal	2024	arxiv 2401.07990
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks	Fangqi Li, Shilin Wang	2022	arxiv 2204.04522
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification	Kishore Babu Nampalle, Pradeep Singh, Uppala Vivek Narayan	2023	arxiv 2306.17794
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation	Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung	2022	arxiv 2209.06357
WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification	Yiwen Jiang, Deval Mehta, Siyuan Yan	2025	arxiv 2509.17740
Billion-scale semi-supervised learning for image classification	I. Zeki Yalniz, Hervé Jégou, Kan Chen	2019	arxiv 1905.00546
LocalNorm: Robust Image Classification through Dynamically Regularized Normalization	Bojian Yin, Siebren Schaafsma, Henk Corporaal	2019	arxiv 1902.06550

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