SOTA2 Research · papers

Papers for “image classification”

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

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20 indexed

Title	Authors	Year	Source
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images	Joseph Stember, Hrithwik Shalu	2021	arxiv 2102.02895
Disentangled Feature Representation for Few-shot Image Classification	Hao Cheng, Yufei Wang, Haoliang Li	2021	arxiv 2109.12548
FTCFormer: Fuzzy Token Clustering Transformer for Image Classification	Muyi Bao, Changyu Zeng, Yifan Wang	2025	arxiv 2507.10283
Local Naive Bayes Nearest Neighbor for Image Classification	Sancho McCann, David G. Lowe	2011	arxiv 1112.0059
CC-Loss: Channel Correlation Loss For Image Classification	Zeyu Song, Dongliang Chang, Zhanyu Ma	2020	arxiv 2010.05469
Self-Supervised Learning For Few-Shot Image Classification	Da Chen, Yuefeng Chen, Yuhong Li	2019	arxiv 1911.06045
SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP	Li Pang, Jing Yao, Kaiyu Li	2025	arxiv 2501.16222
Benchmarking and scaling of deep learning models for land cover image classification	Ioannis Papoutsis, Nikolaos-Ioannis Bountos, Angelos Zavras	2021	arxiv 2111.09451
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification	Lucas M. Dorneles, Luan Fonseca Garcia, Joel Luís Carbonera	2025	arxiv 2505.12581
Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation