Research

Papers for “image classification”

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

Title	Authors	Year	Source
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification	Pei Liu, Luping Ji, Xinyu Zhang	2023	arxiv 2306.16180
Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification	Arnaud Martin, Christophe Osswald	2008	arxiv 0806.2007
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification	Thomas Stegmüller, Behzad Bozorgtabar, Antoine Spahr	2022	arxiv 2202.07570
Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder	Xingyu Li, Marko Radulovic, Ksenija Kanjer	2019	arxiv 1902.08670
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification	Tom Burgert, Kai Norman Clasen, Jonas Klotz	2024	arxiv 2405.13451
Stacked Autoencoder Based Feature Extraction and Superpixel Generation for Multifrequency PolSAR Image Classification	Tushar Gadhiya, Sumanth Tangirala, Anil K. Roy	2023	arxiv 2311.02887
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification	Xiangyu Xiong, Yue Sun, Xiaohong Liu	2023	arxiv 2311.14388
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification	Xiaoshuo Yan, Zhaochuan Li, Lei Meng	2025	arxiv 2505.08173
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification	Puru Vaish, Shunxin Wang, Nicola Strisciuglio	2024	arxiv 2403.01944
ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification	Rui Yang, Pei Liu, Luping Ji	2023	arxiv 2304.06652
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification	Oleksandr Fedoruk, Konrad Klimaszewski, Aleksander Ogonowski	2024	arxiv 2401.14705
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification	Youngjae Song, Sung Kuk Shyn, Kwang-su Kim	2023	arxiv 2301.06324
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification	Yue Yang, Artemis Panagopoulou, Shenghao Zhou	2022	arxiv 2211.11158
Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification?	Ali Karkehabadi	2023	arxiv 2306.16581
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?	Zihao Jiang, Yunkai Dang, Dong Pang	2023	arxiv 2307.04114
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification	Linhao Qu, Yingfan Ma, Zhiwei Yang	2023	arxiv 2307.05254
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning	Sandra Gilhuber, Rasmus Hvingelby, Mang Ling Ada Fok	2023	arxiv 2308.08224
Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection	Jimi Togni, Romis Attux	2025	arxiv 2501.04196
Hybrid State-Space and GRU-based Graph Tokenization Mamba for Hyperspectral Image Classification	Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Muhammad Usama	2025	arxiv 2502.06427
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms	Fatemeh Askari, Amirreza Fateh, Mohammad Reza Mohammadi	2024	arxiv 2409.07989

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