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
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation	Alberto Bacchin, Davide Allegro, Stefano Ghidoni	2024	arxiv 2409.01109
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context	Adrián Inés, Andrés Díaz-Pinto, César Domínguez	2022	arxiv 2205.09678
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression	Xin Ding, Yongwei Wang, Zuheng Xu	2021	arxiv 2104.03164
ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification	Chunyu Lei, C. L. Philip Chen, Jifeng Guo	2023	arxiv 2304.00219
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification	Bingzhe Wu, Shiwan Zhao, Guangyu Sun	2019	arxiv 1905.12883
TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification	Pengfei Gu, Hongxiao Wang, Yejia Zhang	2025	arxiv 2508.01574
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models	Junjie Yang, Jiajun Jiang, Zeyu Sun	2024	arxiv 2401.03695
Systematic comparison of semi-supervised and self-supervised learning for medical image classification	Zhe Huang, Ruijie Jiang, Shuchin Aeron	2023	arxiv 2307.08919
CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning	William Doherty, Anton Lee, Heitor Murilo Gomes	2025	arxiv 2501.11140