Research

Papers for “image classification”

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

Title	Authors	Year	Source
Learning scale-variant and scale-invariant features for deep image classification	Nanne van Noord, Eric Postma	2016	arxiv 1602.01255
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification	Xi Peng, Rui Yan, Bo Zhao	2014	arxiv 1409.5786
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions	Devis Tuia, Rémi Flamary, Nicolas Courty	2016	arxiv 1606.07279
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification	Qingshan Liu, Renlong Hang, Huihui Song	2016	arxiv 1611.03591
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification	Zaidao Wen, Biao Hou, Licheng Jiao	2017	arxiv 1705.00322
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification	Yeeleng S. Vang, Zhen Chen, Xiaohui Xie	2018	arxiv 1802.00931
Bio-inspired fine-tuning for selective transfer learning in image classification	Ana Davila, Jacinto Colan, Yasuhisa Hasegawa	2026	arxiv 2601.11235
Broadband, compact, and training-free optical processors for parallel image classification	Sander J. W. Vonk, Boris de Jong, Yannik M. Glauser	2026	arxiv 2602.18778
DDF2Pol: A Dual-Domain Feature Fusion Network for PolSAR Image Classification	Mohammed Q. Alkhatib	2026	arxiv 2604.18853
Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels	Alireza Sedighi Moghaddam, Mohammad Reza Mohammadi	2025	arxiv 2509.02351
Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification	Rajiv Krishnakumar, Julien Baglio, Frederik F. Flöther	2025	arxiv 2503.10510
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function	Thomio Watanabe, Denis F. Wolf	2020	arxiv 2006.10853
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification	Jingtian Peng, Chang Xiao, Yifan Li	2020	arxiv 2006.12634
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification	Yibo Gao, Hangqi Zhou, Zheyao Gao	2025	arxiv 2505.14049
SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation	Yixuan Dong, Fang-Yi Su, Jung-Hsien Chiang	2025	arxiv 2505.11813
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification	Feng Gao, Xuepeng Jin, Xiaowei Zhou	2024	arxiv 2408.14255
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks	Ashish Kumar, Karan Sehgal, Prerna Garg	2020	arxiv 2011.01472
Learning rich optical embeddings for privacy-preserving lensless image classification	Eric Bezzam, Martin Vetterli, Matthieu Simeoni	2022	arxiv 2206.01429
A Scalable Quantum Non-local Neural Network for Image Classification	Sparsh Gupta, Debanjan Konar, Vaneet Aggarwal	2024	arxiv 2407.18906
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification	Yaoyao Zhu, Xiuding Cai, Xueyao Wang	2024	arxiv 2403.06138

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