Research

Papers for “image classification”

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

Title	Authors	Year	Source
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification	Preetam Prabhu Srikar Dammu, Chirag Shah	2023	arxiv 2311.01655
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification	Wenhao Tang, Sheng Huang, Xiaoxian Zhang	2023	arxiv 2307.15254
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification	Shuge Lei, Haonan Hu, Dasheng Sun	2024	arxiv 2401.03664
Brain tumor MRI image classification with feature selection and extraction using linear discriminant analysis	V. P. Gladis Pushpa Rathi, S. Palani	2012	arxiv 1208.2128
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset	Suyash Shetty	2016	arxiv 1607.03785
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification	Anirban Santara, Kaustubh Mani, Pranoot Hatwar	2016	arxiv 1612.00144
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification	Cheng Ju, Aurélien Bibaut, Mark J. van der Laan	2017	arxiv 1704.01664
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification	Igor Gitman, Boris Ginsburg	2017	arxiv 1709.08145
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification	Faxian Cao, Zhijing Yang, Jinchang Ren	2017	arxiv 1709.02517
All-optical image classification through unknown random diffusers using a single-pixel diffractive network	Yi Luo, Bijie Bai, Yuhang Li	2022	arxiv 2208.03968
Image Classification Algorithm for Determining the Light Curve Morphologies of ASAS-SN Eclipsing Binaries	Burak Ulas	2020	arxiv 2012.08435
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning	Akshay Smit, Damir Vrabac, Yujie He	2021	arxiv 2103.14339
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification	Mohammed F. Tolba, Huruy Tekle Tesfai, Hani Saleh	2021	arxiv 2105.02954
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification	Qiqi Zhu, Weihuan Deng, Zhuo Zheng	2021	arxiv 2105.14327
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification	Cristiano Patrício, Isabel Rio-Torto, Jaime S. Cardoso	2025	arxiv 2501.12266
Improvement Strategies for Few-Shot Learning in OCT Image Classification of Rare Retinal Diseases	Cheng-Yu Tai, Ching-Wen Chen, Chi-Chin Wu	2025	arxiv 2505.20149
One-Shot Neural Architecture Search with Network Similarity Directed Initialization for Pathological Image Classification	Renao Yan	2025	arxiv 2506.14176
IMC-Net: A Lightweight Content-Conditioned Encoder with Multi-Pass Processing for Image Classification	YiZhou Li	2025	arxiv 2507.21761
Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification	Anh Mai Vu, Tuan L. Vo, Ngoc Lam Quang Bui	2025	arxiv 2511.08464
Beyond accuracy: quantifying the reliability of Multiple Instance Learning for Whole Slide Image classification	Hassan Keshvarikhojasteh, Marc Aubreville, Christof A. Bertram	2024	arxiv 2409.11110

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