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
Rethinking Multi-Label Image Classification With Deep Learning: Taxonomy, Challenge, and Outlook	Xuelin Zhu, Xiu-Shen Wei, Jiawei Ge	2026	arxiv 2607.00839
PNEC-Mamba: Prototype-Guided Positive-Negative Evidence Calibration for Hyperspectral Image Classification	Mingzhen Xu, Can Xu, Di Wang	2026	arxiv 2608.01910
Topology-Aware Neighborhood Learning for Source-Free Cross-Scene Hyperspectral Image Classification	Qingmei Li, Juepeng Zheng, Jiarui Zhang	2026	arxiv 2608.05964
Quantum Kernel for Image Classification of Real World Manufacturing Defects	Daniel Beaulieu, Dylan Miracle, Anh Pham	2022	arxiv 2212.08693
Single-chip photonic deep neural network for instantaneous image classification	Farshid Ashtiani, Alexander J. Geers, Firooz Aflatouni	2021	arxiv 2106.11747
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans	Giang (Dexter) Nguyen, Valerie Chen, Mohammad Reza Taesiri	2023	arxiv 2308.13651
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification	Rabab Abdelfattah, Xin Zhang, Zhenyao Wu	2022	arxiv 2208.09999
MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification	Minjong Cheon, Changbae Mun	2025	arxiv 2506.19561
Where are we with calibration under dataset shift in image classification?	Mélanie Roschewitz, Raghav Mehta, Fabio de Sousa Ribeiro	2025	arxiv 2507.07780
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection