Research

Papers for “image classification”

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

Title	Authors	Year	Source
Increasing trust in new data sources: crowdsourcing image classification for ecology	Edgar Santos-Fernandez, Julie Vercelloni, Aiden Price	2023	arxiv 2305.01144
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification	Quanwei Liu, Yanni Dong, Tao Huang	2024	arxiv 2404.01673
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification	Jingyi Zhou, Jiamu Sheng, Jiayuan Fan	2023	arxiv 2306.08964
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification	Huiyan Bai, Tingfa Xu, Huan Chen	2024	arxiv 2407.18593
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification	Chippy Jayaprakash, Bharath Bhushan Damodaran, Sowmya V	2018	arxiv 1804.07347
Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification	Yu Shen, Sijie Zhu, Chen Chen	2020	arxiv 2008.00542
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification	Jun Luo, Shandong Wu	2021	arxiv 2110.08378
Identifying bias in CNN image classification using image scrambling and transforms	Sai Teja Erukude	2025	arxiv 2510.10383
SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification	Yun Cao, Jie Mei, Yuebin Wang	2020	arxiv 2010.03115
HyperTTA: Test-Time Adaptation for Hyperspectral Image Classification under Distribution Shifts	Xia Yue, Anfeng Liu, Ning Chen	2025	arxiv 2509.08436
Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification	Tanmoy Dam, Sreenatha G. Anavatti, Hussein A. Abbass	2020	arxiv 2009.13037
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition	Andreea Bianca Popescu, Cosmin Ioan Nita, Ioana Antonia Taca	2023	arxiv 2308.16530
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets	Yuan-Hong Liao, Amlan Kar, Sanja Fidler	2021	arxiv 2104.12690
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification	Anurag Goel, Angshul Majumdar	2021	arxiv 2111.13920
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification	Sam Maksoud, Kun Zhao, Peter Hobson	2020	arxiv 2003.05080
Behavior and performance of the deep belief networks on image classification	Karol Gregor, Gregory Griffin	2009	arxiv 0912.0717
Image Classification Using SVMs: One-against-One Vs One-against-All	Gidudu Anthony, Hulley Gregg, Marwala Tshilidzi	2007	arxiv 0711.2914
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?	Tuan Truong, Sadegh Mohammadi, Matthias Lenga	2021	arxiv 2108.10048
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification	Neetu Sigger, Tuan Thanh Nguyen, Gianluca Tozzi	2023	arxiv 2312.12441
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification	Kaipeng Zheng, Weiran Huang, Lichao Sun	2023	arxiv 2312.07125

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