Research

Papers for “image classification”

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

Title	Authors	Year	Source
ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation	Abdulvahap Mutlu, Şengül Doğan, Türker Tuncer	2025	arxiv 2507.09299
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification	E. Ulises Moya-Sánchez, Sebastiá Xambo-Descamps, Abraham Sánchez	2021	arxiv 2109.06926
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification	Weichuan Zhang, Xuefang Liu, Zhe Xue	2021	arxiv 2106.06988
A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification	Furkan Genç, Onat Özdemir, Emre Akbaş	2026	arxiv 2603.07571
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification	Yanan Sun, Bing Xue, Mengjie Zhang	2017	arxiv 1712.05042
Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction	Yuchen Wang, Ziyi Guo, Haixia Bi	2024	arxiv 2408.04294
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation	Yin Zheng, Yu-Jin Zhang, Hugo Larochelle	2013	arxiv 1305.5306
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification	Yicheng Gao, Jinkui Hao, Bo Zhou	2024	arxiv 2412.16373
Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification	Xiangyu Sun, Xiaoguang Zou, Yuanquan Wu	2025	arxiv 2501.19086
Image Labeling on a Network: Using Social-Network Metadata for Image Classification	Julian McAuley, Jure Leskovec	2012	arxiv 1207.3809
Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models	Yiwen Jiang, Deval Mehta, Wei Feng	2025	arxiv 2506.01334
SDTN and TRN: Adaptive Spectral-Spatial Feature Extraction for Hyperspectral Image Classification	Fuyin Ye, Erwen Yao, Jianyong Chen	2025	arxiv 2507.09492
The Role of Noisy Data in Improving CNN Robustness for Image Classification	Oscar H. Ramírez-Agudelo, Nicoleta Gorea, Aliza Reif	2026	arxiv 2601.08043
MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification	Mohammed Q. Alkhatib, Ali Jamali	2026	arxiv 2604.26138
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification	Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch	2021	arxiv 2105.02726
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification	ZongYuan Ge, Chris McCool, Conrad Sanderson	2015	arxiv 1502.07802
Vision Pair Learning: An Efficient Training Framework for Image Classification	Bei Tong, Xiaoyuan Yu	2021	arxiv 2112.00965
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation	Jiazhi Xu, Sheng Huang, Fengtao Zhou	2022	arxiv 2205.10986
Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning	Alessandro Bianchi, Moreno Raimondo Vendra, Pavlos Protopapas	2019	arxiv 1904.03949
Class-relevant Patch Embedding Selection for Few-Shot Image Classification	Weihao Jiang, Haoyang Cui, Kun He	2024	arxiv 2405.03722

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