Research

Papers for “image classification”

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

Title	Authors	Year	Source
Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification	Maycon R. S. Pereira, Filipe R. Cordeiro	2026	arxiv 2604.23875
Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification	Xiaoliu Luo, Minxue Xiao, Ting Xie	2026	arxiv 2604.23977
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification	Weiwei Zhuang, Wangze Xie, Qi Zhang	2026	arxiv 2604.14643
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification	Matteo Bianchi, Antonio De Santis, Andrea Tocchetti	2024	arxiv 2405.03301
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class	Maximilian Nielsen, Laura Wenderoth, Thilo Sentker	2023	arxiv 2304.05163
Reliability Assessment Framework Based on Feature Separability for Pathological Cell Image Classification under Prior Bias	Takaaki Tachibana, Toru Nagasaka, Yukari Adachi	2025	arxiv 2511.01953
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion	Philipp Allgeuer, Kyra Ahrens, Stefan Wermter	2024	arxiv 2407.11211
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification	Miaoge Li, Dongsheng Wang, Xinyang Liu	2023	arxiv 2307.09066
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack	Reek Majumder, Sakib Mahmud Khan, Fahim Ahmed	2021	arxiv 2108.01125
A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification	Kamal Basha S, Anukul Kiran B, Athira Nambiar	2025	arxiv 2506.01445
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles	Xing Shen, Hengguan Huang, Brennan Nichyporuk	2023	arxiv 2310.15952
Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability	Shuaicheng Liu, Zehao Zhang, Kai Song	2019	arxiv 1912.04518
DAF-NET: a saliency based weakly supervised method of dual attention fusion for fine-grained image classification	ZiChao Dong, JiLong Wu, TingTing Ren	2020	arxiv 2001.02219
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification	Irma van den Brandt, Floris Fok, Bas Mulders	2021	arxiv 2107.05940
Impact of Automatic Image Classification and Blind Deconvolution in Improving Text Detection Performance of the CRAFT Algorithm	Clarisa V. Albarillo, Proceso L. Fernandez Jr	2022	arxiv 2211.15999
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection	George Papandreou, Iasonas Kokkinos, Pierre-André Savalle	2014	arxiv 1412.0296
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform	Md Tahmid Hossain, Shyh Wei Teng, Dengsheng Zhang	2018	arxiv 1811.05819
Feature Fusion via Dual-resolution Compressive Measurement Matrix Analysis For Spectral Image Classification	Juan Marcos Ramirez, Jose Ignacio Martinez-Torre, Henry Arguello	2020	arxiv 2009.06961
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey	Görkem Algan, Ilkay Ulusoy	2019	arxiv 1912.05170
S$^2$Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification	Guanchun Wang, Xiangrong Zhang, Zelin Peng	2024	arxiv 2404.18213

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