Research

Papers for “image classification”

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

Title	Authors	Year	Source
Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification	Ramanarayan Mohanty, S L Happy, Aurobinda Routray	2018	arxiv 1812.08047
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification	Danfeng Hong, Xin Wu, Pedram Ghamisi	2019	arxiv 1912.08847
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification	Devesh Walawalkar, Zhiqiang Shen, Zechun Liu	2020	arxiv 2003.13048
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification	Colin Samplawski, Heesung Kwon, Erik Learned-Miller	2019	arxiv 1902.05492
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features	Tao Gui, Lizhi Qing, Qi Zhang	2019	arxiv 1911.07518
Visualization approach to assess the robustness of neural networks for medical image classification	Elina Thibeau Sutre, Olivier Colliot, Didier Dormont	2019	arxiv 1911.08264
Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional Network for Hyperspectral Image Classification	Jin-Yu Yang, Heng-Chao Li, Wen-Shuai Hu	2022	arxiv 2204.05823
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification	Wen-Shuai Hu, Heng-Chao Li, Lei Pan	2019	arxiv 1905.03577
Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning	Kaiyi Chen, Qingbin Wang, Yutao Ma	2021	arxiv 2108.05081
Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging	Joohyung Lee, Jieun Oh, Inkyu Shin	2022	arxiv 2209.05771
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts	Zhong Ji, Rongshuai Wei, Jingren Liu	2025	arxiv 2506.04673
Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification	Chetan Madan, Aarjav Satia, Soumen Basu	2025	arxiv 2507.10869
Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification	Kunal Kawadkar	2025	arxiv 2507.21156
Contrastive Cross-Bag Augmentation for Multiple Instance Learning-based Whole Slide Image Classification	Bo Zhang, Xu Xinan, Shuo Yan	2025	arxiv 2508.03081
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation	Koushik Biswas, Ridal Pal, Shaswat Patel	2024	arxiv 2408.05692
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism	Tianhang Nan, Hao Quan, Yong Ding	2024	arxiv 2407.19821
Two-phase training mitigates class imbalance for camera trap image classification with CNNs	Farjad Malik, Simon Wouters, Ruben Cartuyvels	2021	arxiv 2112.14491
MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification	Yichu Xu, Di Wang, Hongzan Jiao	2025	arxiv 2504.20509
Benchmarking foundation models for hyperspectral image classification: Application to cereal crop type mapping	Walid Elbarz, Mohamed Bourriz, Hicham Hajji	2025	arxiv 2510.11576
SSIVD-Net: A Novel Salient Super Image Classification & Detection Technique for Weaponized Violence	Toluwani Aremu, Li Zhiyuan, Reem Alameeri	2022	arxiv 2207.12850

Search results