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
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