Research

Papers for “image classification”

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

Title	Authors	Year	Source
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification	Zhikang Wang, Yue Bi, Tong Pan	2022	arxiv 2208.03526
Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models	Alejandro Puente-Castro, Enrique Fernandez-Blanco, Daniel Rivero	2025	arxiv 2506.06007
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs	Ivan Reyes-Amezcua, Francisco Lopez-Tiro, Clement Larose	2025	arxiv 2508.13461
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images	Xiaoyi Liu, Zhuoyue Wang	2024	arxiv 2408.00636
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion	Xu Zhang, Zhipeng Xie, Haiyang Yu	2024	arxiv 2408.13744
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)	Nils Lukas, Edward Jiang, Xinda Li	2021	arxiv 2108.04974
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification	Ying Qu, Razieh Kaviani Baghbaderani, Wei Li	2020	arxiv 2008.08563
Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network	Nilgun Sengoz, Tuncay Yigit, Ozlem Ozmen	2022	arxiv 2201.09867
CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification	Asmaa Abbas, Mohamed Gaber, Mohammed M. Abdelsamea	2025	arxiv 2510.23442
Fine-Grained Self-Supervised Learning with Jigsaw Puzzles for Medical Image Classification	Wongi Park, Jongbin Ryu	2023	arxiv 2308.05770
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification	Yizhe Zhang, Shuo Wang, Yejia Zhang	2023	arxiv 2309.04760
Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning	Yanling Miao, Qi Wang, Mulin Chen	2021	arxiv 2103.13710
S$^3$R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification	Xingran Xie, Yan Wang, Qingli Li	2022	arxiv 2209.08770
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples	Sen Jia, Shuguo Jiang, Zhijie Lin	2021	arxiv 2112.01800
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey	Saul Calderon-Ramirez, Shengxiang Yang, David Elizondo	2022	arxiv 2203.00190
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification	Shujun Wang, Yaxi Zhu, Lequan Yu	2020	arxiv 2010.06440
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification	Azadeh Alavi, Arnold Wiliem, Kun Zhao	2014	arxiv 1403.0700
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification	Qingshan Liu, Feng Zhou, Renlong Hang	2017	arxiv 1703.07910
Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading	Fionn Murtagh, Jean-Luc Starck	2008	arxiv 0802.3528
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification	Elham Sadeghnezhad, Sajjad Salem	2024	arxiv 2402.02274

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