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Research

Papers for “image classification”

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

TitleAuthorsYearSource
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image ClassificationTingting Zheng, Kui Jiang, Hongxun Yao2024arxiv 2403.07939
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image ClassificationMarkus Wei\ssflog, Peter Protzel, Peer Neubert2024arxiv 2407.12375
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image ClassificationPeijie Qiu, Pan Xiao, Wenhui Zhu2023arxiv 2311.00048
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image ClassificationDenis Huseljic, Paul Hahn, Marek Herde2024arxiv 2404.08981
Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural NetworkYang Liu, Yahui Li, Rui Li2024arxiv 2409.11619
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher InformationShreen Gul, Mohamed Elmahallawy, Sanjay Madria2024arxiv 2411.05752
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image ClassificationRong Liu, Junye Liang, Jiaqi Yang2025arxiv 2502.17879
MobilePlantViT: A Mobile-friendly Hybrid ViT for Generalized Plant Disease Image ClassificationMoshiur Rahman Tonmoy, Md. Mithun Hossain, Nilanjan Dey2025arxiv 2503.16628
Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble ArchitecturesDeependra Singh, Saksham Agarwal, Subhankar Mishra2025arxiv 2503.21465
Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image ClassificationAmirreza Mahbod, Rupert Ecker, Ramona Woitek2025arxiv 2505.16338
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image ClassificationXu Wang, Tian Ye, Rajgopal Kannan2024arxiv 2404.03225
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image ClassificationJudy X Yang, Jun Zhou, Jing Wang2024arxiv 2404.03883
Multi-method Integration with Confidence-based Weighting for Zero-shot Image ClassificationSiqi Yin, Lifan Jiang2024arxiv 2405.02155
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence NormalizationFiras Khader, Omar S. M. El Nahhas, Tianyu Han2024arxiv 2406.01314
How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image ClassificationAli Jamali, Swalpa Kumar Roy, Danfeng Hong2024arxiv 2406.15719
Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image ClassificationXizhe Xue, Haokui Zhang, Bei Fang2021arxiv 2110.11084
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationLei Zhou, Huidong Liu, Joseph Bae2022arxiv 2203.05573
Rotational augmentation techniques: a new perspective on ensemble learning for image classificationUnai Muñoz-Aseguinolaza, Basilio Sierra, Naiara Aginako2023arxiv 2306.07027
What do neural networks learn in image classification? A frequency shortcut perspectiveShunxin Wang, Raymond Veldhuis, Christoph Brune2023arxiv 2307.09829
Multi-level Multiple Instance Learning with Transformer for Whole Slide Image ClassificationRuijie Zhang, Qiaozhe Zhang, Yingzhuang Liu2023arxiv 2306.05029