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Papers for “image classification”

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

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TitleAuthorsYearSource
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and Language ModelsPurushothaman Natarajan, Athira Nambiar2024arxiv 2408.12808
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop ClassificationSudi Murindanyi, Joyce Nakatumba-Nabende, Rahman Sanya2024arxiv 2408.12426
Efficient Model-Agnostic Multi-Group Equivariant NetworksRazan Baltaji, Sourya Basu, Lav R. Varshney2023arxiv 2310.09675
P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted DrivingMohamed R. Elshamy, Heba M. Emara, Mohamed R. Shoaib2024arxiv 2410.15602
Robust Asymmetric Loss for Multi-Label Long-Tailed LearningWongi Park, Inhyuk Park, Sungeun Kim2023arxiv 2308.05542
FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite NetworksZheng Lin, Zhe Chen, Zihan Fang2023arxiv 2311.01483
Visual-RFT: Visual Reinforcement Fine-TuningZiyu Liu, Zeyi Sun, Yuhang Zang2025arxiv 2503.01785
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing LabelsZhongchen Ma, Lisha Li, Qirong Mao2022arxiv 2209.01314
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial NetworksTehseen Zia, Zeeshan Nisar, Shakeeb Murtaza2023arxiv 2301.08939
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain AdaptationXiaohu Lu, Hayder Radha2023arxiv 2309.06528
Divergences in Color Perception between Deep Neural Networks and HumansEthan O. Nadler, Elise Darragh-Ford, Bhargav Srinivasa Desikan2023arxiv 2309.05809
Basic Thresholding ClassificationMehmet Altan Toksöz2017arxiv 1712.03217
Transductive Label Augmentation for Improved Deep Network LearningIsmail Elezi, Alessandro Torcinovich, Sebastiano Vascon2018arxiv 1805.10546
Toward Relative Positional Encoding in Spiking TransformersChangze Lv, Yansen Wang, Dongqi Han2025arxiv 2501.16745
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality imagesHan Li, Hu Han, S. Kevin Zhou2025arxiv 2505.18741
Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial ImagesDaniel Basilewitsch, João F. Bravo, Christian Tutschku2024arxiv 2411.19276
On-board classification of underwater images using hybrid classical-quantum CNN based methodSreeraj Rajan Warrier, D Sri Harshavardhan Reddy, Sriya Bada2024arxiv 2404.13130
Do Generalized-Gamma Scale Mixtures of Normals Fit Large Image Datasets?Brandon Marks, Yash Dave, Zixun Wang2025arxiv 2512.17038
bispectrum: Selective $G$-Bispectra Made PracticalJohan Mathe, Adele Myers, Simon Mataigne2026arxiv 2605.07270
In-Context Learning for Wound Classification with Small Multimodal Language ModelsGeorge Martvel, Oskar Gustafsson, John Pavia2026arxiv 2607.18819