Research

Papers for “image classification”

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

Title	Authors	Year	Source
Mathematical Foundation of Interpretable Equivariant Surrogate Models	Jacopo Joy Colombini, Filippo Bonchi, Francesco Giannini	2025	arxiv 2503.01942
Comparative Analysis of Different Methods for Classifying Polychromatic Sketches	Fahd Baba, Devon Mack	2025	arxiv 2504.08186
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles	Andrew Millard, Zheng Zhao, Joshua Murphy	2025	arxiv 2505.11671
Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability	Arush Tagade, Jessica Rumbelow	2023	arxiv 2309.17144
Improving the Resolution of CNN Feature Maps Efficiently with Multisampling	Shayan Sadigh, Pradeep Sen	2018	arxiv 1805.10766
Attention Masks Help Adversarial Attacks to Bypass Safety Detectors	Yunfan Shi	2024	arxiv 2411.04772
Multi-view Contrastive Learning for Online Knowledge Distillation	Chuanguang Yang, Zhulin An, Yongjun Xu	2020	arxiv 2006.04093
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks	Matthew Ciolino, Josh Kalin, David Noever	2021	arxiv 2102.09695
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms	Jia-Xin Zhuang, Xiansong Huang, Yang Yang	2022	arxiv 2208.05616
On the Subspace Structure of Gradient-Based Meta-Learning	Gustaf Tegnér, Alfredo Reichlin, Hang Yin	2022	arxiv 2207.03804
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI	Erico Tjoa, Hong Jing Khok, Tushar Chouhan	2021	arxiv 2201.00009
Improving Performance of Semi-Supervised Learning by Adversarial Attacks	Dongyoon Yang, Kunwoong Kim, Yongdai Kim	2023	arxiv 2308.04018
Fully Connected Deep Structured Networks	Alexander G. Schwing, Raquel Urtasun	2015	arxiv 1503.02351
Revisiting Winner Take All (WTA) Hashing for Sparse Datasets	Beidi Chen, Anshumali Shrivastava	2016	arxiv 1612.01834
Training Sparse Neural Networks	Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu	2016	arxiv 1611.06694
Classification of Quantitative Light-Induced Fluorescence Images Using Convolutional Neural Network	Sultan Imangaliyev, Monique H. van der Veen, Catherine M. C. Volgenant	2017	arxiv 1705.09193
Ensemble Of Deep Neural Networks For Acoustic Scene Classification	Venkatesh Duppada, Sushant Hiray	2017	arxiv 1708.05826
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat	Erdong Hu, Yuxin Tang, Anastasios Kyrillidis	2023	arxiv 2309.03237
Learning of deep convolutional network image classifiers via stochastic gradient descent and over-parametrization	Michael Kohler, Adam Krzyzak, Alisha Sänger	2024	arxiv 2404.07128
Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation	Askar Tsyganov, Evgeny Frolov, Sergey Samsonov	2025	arxiv 2508.04444

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