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Papers for “image classification”

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

TitleAuthorsYearSource
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image ClassificationBo Zhang, Jiakang Yuan, Baopu Li2022arxiv 2207.00784
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image ClassificationJiawei Yang, Hanbo Chen, Yu Zhao2022arxiv 2207.01805
Representative Teacher Keys for Knowledge Distillation Model Compression Based on Attention Mechanism for Image ClassificationJun-Teng Yang, Sheng-Che Kao, Scott C.-H. Huang2022arxiv 2206.12788
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image ClassificationHichame Yessou, Gencer Sumbul, Begüm Demir2020arxiv 2009.13935
Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real WorldJulianna D. Ianni, Rajath E. Soans, Sivaramakrishnan Sankarapandian2019arxiv 1909.11212
Neutron-Gamma Pulse Shape Discrimination for Organic Scintillation Detector using 2D CNN based Image ClassificationAnnesha Karmakar, Anikesh Pal, G. Anil Kumar2023arxiv 2306.09356
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image ClassificationJiaxiang Gou, Luping Ji, Pei Liu2024arxiv 2410.10573
Label-Efficient Hyperspectral Image Classification via Spectral FiLM Modulation of Low-Level Pretrained Diffusion FeaturesYuzhen Hu, Biplab Banerjee, Saurabh Prasad2025arxiv 2512.03430
On machine learning analysis of atomic force microscopy images for image classification, sample surface recognitionIgor Sokolov2024arxiv 2403.16230
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image ClassificationZhuo Zheng, Yanfei Zhong, Ailong Ma2020arxiv 2011.05670
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial LabelsPranav Kulkarni, Adway Kanhere, Paul H. Yi2023arxiv 2303.06180
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averagingZeinab Sherkatghanad, Moloud Abdar, Mohammadreza Bakhtyari2024arxiv 2406.17640
Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer ApproachMohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo2024arxiv 2406.14120
Dual-Qubit Hierarchical Fuzzy Neural Network for Image Classification: Enabling Relational Learning via Quantum EntanglementWenwei Zhang, Jintao Wang, Tianyu Ye2025arxiv 2512.13274
Uncertainty-Preserving QBNNs: Multi-Level Quantization of SVI-Based Bayesian Neural Networks for Image ClassificationHendrik Borras, Yong Wu, Bernhard Klein2025arxiv 2512.10602
Semi-Supervised Hyperspectral Image Classification with Edge-Aware Superpixel Label Propagation and Adaptive Pseudo-LabelingYunfei Qiu, Qiqiong Ma, Tianhua Lv2026arxiv 2601.18049
A multimodal slice discovery framework for systematic failure detection and explanation in medical image classificationYixuan Liu, Kanwal K. Bhatia, Ahmed E. Fetit2026arxiv 2602.24183
VP-Hype: A Hybrid Mamba-Transformer Framework with Visual-Textual Prompting for Hyperspectral Image ClassificationAbdellah Zakaria Sellam, Fadi Abdeladhim Zidi, Salah Eddine Bekhouche2026arxiv 2603.01174
Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image ClassificationKabilan Elangovan, Daniel Ting2026arxiv 2604.08502
I Can't Believe TTA Is Not Better: When Test-Time Augmentation Hurts Medical Image ClassificationDaniel Nobrega Medeiros2026arxiv 2604.09697