Research

Papers for “image classification”

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

Title	Authors	Year	Source
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification	Yongwei Wang, Mingquan Feng, Rabab Ward	2020	arxiv 2011.05254
Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification	Ee Fey Goh, ZhiYuan Chen, Wei Xiang Lim	2021	arxiv 2106.12736
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network	Lam Pham, Khoa Tran, Dat Ngo	2022	arxiv 2206.13392
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer	Ruina Sun, Yuexin Pang	2022	arxiv 2207.01527
Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification	Henrik Riedel, Sleheddine Mokdad, Isabell Schulz	2021	arxiv 2110.08079
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents	Tejasvee Bisen, Mohammed Javed, Shashank Kirtania	2023	arxiv 2306.01359
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification	Marawan Elbatel, Hualiang Wang, Robert Martí	2023	arxiv 2307.14959
GSDA: Generative Adversarial Network-based Semi-Supervised Data Augmentation for Ultrasound Image Classification	Zhaoshan Liu, Qiujie Lv, Chau Hung Lee	2022	arxiv 2203.06184
Hyperspectral Image Classification and Clutter Detection via Multiple Structural Embeddings and Dimension Reductions	Alexandros-Stavros Iliopoulos, Tiancheng Liu, Xiaobai Sun	2015	arxiv 1506.01115
From visual words to a visual grammar: using language modelling for image classification	Antonio Foncubierta-Rodríguez, Henning Müller, Adrien Depeursinge	2017	arxiv 1703.05571
Real-time convolutional networks for sonar image classification in low-power embedded systems	Matias Valdenegro-Toro	2017	arxiv 1709.02153
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks	Brady Kieffer, Morteza Babaie, Shivam Kalra	2017	arxiv 1710.05726
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble	Kazuhisa Matsunaga, Akira Hamada, Akane Minagawa	2017	arxiv 1703.03108
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization	Yu Zhang, Gongbo Liang, Nathan Jacobs	2020	arxiv 2003.01111
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification	Zhengrui Guo, Conghao Xiong, Jiabo Ma	2024	arxiv 2411.14743
CzSL: Learning from citizen science, experts and unlabelled data in astronomical image classification	Manuel Jimenez, Emilio J. Alfaro, Mercedes Torres Torres	2023	arxiv 2302.00366
Galaxy Image Classification using Hierarchical Data Learning with Weighted Sampling and Label Smoothing	Xiaohua Ma, Xiangru Li, Ali Luo	2022	arxiv 2212.10081
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification	Huaxi Huang, Junjie Zhang, Jian Zhang	2019	arxiv 1908.01313
AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification	Yunlong Zhang, Honglin Li, Yunxuan Sun	2024	arxiv 2406.15303
TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks	Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang	2025	arxiv 2511.09605

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