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Papers for “image classification”

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

TitleAuthorsYearSource
Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise PerformanceIfeanyi Ezuma, Ugochukwu Ugwu2026arxiv 2601.01056
Initialization matters in few-shot adaptation of vision-language models for histopathological image classificationPablo Meseguer, Rocío del Amor, Valery Naranjo2026arxiv 2602.18766
HELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image ClassificationMarjan Stoimchev, Boshko Koloski, Jurica Levatić2026arxiv 2603.11783
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image ClassificationRishona Daniels, Duna Wattad, Ronny Ronen2026arxiv 2604.21602
ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image ClassificationMohammed Q. Alkhatib2026arxiv 2604.18856
Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation ModelNaeem Paeedeh, Mahardhika Pratama, Ary Shiddiqi2026arxiv 2601.22581
EVA: Bridging Performance and Human Alignment in Hard-Attention Vision Models for Image ClassificationPengcheng Pan, Yonekura Shogo, Kuniyoshi Yasuo2026arxiv 2603.27340
Trust the Unreliability: Inward Backward Dynamic Unreliability Driven Coreset Selection for Medical Image ClassificationYan Liang, Ziyuan Yang, Zhuxin Lei2026arxiv 2603.17603
How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image ClassificationJulia Machnio, Mads Nielsen, Mostafa Mehdipour Ghazi2026arxiv 2608.03511
Kohn-Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image ClassificationV.S. Usatyuk, D. A. Sapozhnikov, S. I. Egorov2026arxiv 2607.28428
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image ClassificationHongrun Zhang, Yanda Meng, Yitian Zhao2022arxiv 2203.12081
Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification PerformanceXin Shen, Xiaonan Zhao, Rui Luo2023arxiv 2305.05228
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image ClassificationWeijie Chen, Di Xie, Yuan Zhang2019arxiv 1903.05285
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object DetectionTianshu Chu, Qin Luo, Jie Yang2019arxiv 1912.12656
Simple black-box universal adversarial attacks on medical image classification based on deep neural networksKazuki Koga, Kazuhiro Takemoto2021arxiv 2108.04979
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classificationYoungkee Kim, Won Joon Yun, Youn Kyu Lee2022arxiv 2202.08604
Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image ClassificationHaiwei Lin, Shoko Imaizumi, Hitoshi Kiya2025arxiv 2507.11943
HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image ClassificationFaisal Ahmed2025arxiv 2507.22274
VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Annotation-Free Pathological Image ClassificationLanfeng Zhong, Zongyao Huang, Yang Liu2024arxiv 2403.15836
Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification modelsTownim Faisal Chowdhury, Vu Minh Hieu Phan, Kewen Liao2025arxiv 2509.16822