Research

Papers for “image classification”

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

Title	Authors	Year	Source
DSXFormer: Dual-Pooling Spectral Squeeze-Expansion and Dynamic Context Attention Transformer for Hyperspectral Image Classification	Farhan Ullah, Irfan Ullah, Khalil Khan	2026	arxiv 2602.01906
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification	Muhammad Zeshan Afzal, Andreas Kölsch, Sheraz Ahmed	2017	arxiv 1704.03557
SAR Image Classification Based on Spiking Neural Network through Spike-Time Dependent Plasticity and Gradient Descent	Jiankun Chen, Xiaolan Qiu, Chibiao Ding	2021	arxiv 2106.08005
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks	Bin Wang, Bing Xue, Mengjie Zhang	2019	arxiv 1907.12659
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria	Hossam Amer, Sepideh Shaterian, En-hui Yang	2023	arxiv 2302.09560
COLORA: Efficient Fine-Tuning for Convolutional Models with a Study Case on Optical Coherence Tomography Image Classification	Mariano Rivera, Angello Hoyos	2025	arxiv 2505.18315
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification	Bin Wang, Bing Xue, Mengjie Zhang	2020	arxiv 2007.01556
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification	Qiufu Li, Linlin Shen, Sheng Guo	2021	arxiv 2107.13335
LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier	Haojun Yu, Di Dai, Ziwei Zhao	2025	arxiv 2501.06862
Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification	Prakul Sunil Hiremath	2026	arxiv 2604.15364
MBTI: A Multi-Branch Efficient Fine-Tuning Framework for Hyperspectral Image Classification with Foundation Models	Mingzhen Xu, Haonan Guo, Di Wang	2026	arxiv 2607.12782
Analysis of the Shortcut Learning and Clever Hans Effect in CNN based ECG Image Classification	Abhay Kumar Pathak, Mrityunjay Chaubey, Manjari Gupta	2026	arxiv 2607.25117
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification	Yao Qin, Lorenzo Bruzzone, Biao Li	2018	arxiv 1808.09740
Chaos-SSL: An Attention-Based Self-Supervised Learning Framework with Chaotic Transformation for Medical Image Classification	Joao Batista Florindo	2026	arxiv 2605.27146
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking	Shaohui Mei, Jiawei Lian, Xiaofei Wang	2023	arxiv 2306.12111
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need	Linhao Qu, Yingfan Ma, Xiaoyuan Luo	2023	arxiv 2307.02249
Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples	Lei Cai, Zhengyang Wang, Rob Kulathinal	2020	arxiv 2010.10050
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification	Abien Fred Agarap	2017	arxiv 1712.03541
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes	Tae Joon Jun, Youngsub Eom, Dohyeun Kim	2019	arxiv 1905.06509
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image Classification	Keyvan RahimiZadeh, Ahmad Taheri, Jan Baumbach	2025	arxiv 2501.03349

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