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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
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted WindowMocho Go, Hideyuki Tachibana2022arxiv 2208.11718
CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net CombinationVidhu Arora, Shreyan Gupta, Ananthakrishna Kudupu2025arxiv 2501.12384
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50Umesh Yadav, Suman Niroula, Gaurav Kumar Gupta2025arxiv 2501.02147
Learning Invariances in Neural NetworksGregory Benton, Marc Finzi, Pavel Izmailov2020arxiv 2010.11882
Convolutional Neural Networks for Multispectral Image Cloud MaskingGonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls2020arxiv 2012.05325
Depth Uncertainty in Neural NetworksJavier Antorán, James Urquhart Allingham, José Miguel Hernández-Lobato2020arxiv 2006.08437
Towards Feature Space Adversarial AttackQiuling Xu, Guanhong Tao, Siyuan Cheng2020arxiv 2004.12385
Evaluating the Adversarial Robustness of Adaptive Test-time DefensesFrancesco Croce, Sven Gowal, Thomas Brunner2022arxiv 2202.13711
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional NetworksRenan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing2022arxiv 2210.08001
TransBoost: Improving the Best ImageNet Performance using Deep TransductionOmer Belhasin, Guy Bar-Shalom, Ran El-Yaniv2022arxiv 2205.13331
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer ModelsRei Aso, Tatsuya Chuman, Hitoshi Kiya2023arxiv 2301.03843
Computer Vision Pipeline for Automated Antarctic Krill AnalysisMazvydas Gudelis, Michal Mackiewicz, Julie Bremner2023arxiv 2309.06188
Evaluating Supervision Levels Trade-Offs for Infrared-Based People CountingDavid Latortue, Moetez Kdayem, Fidel A Guerrero Peña2023arxiv 2311.11974
A precortical module for robust CNNs to light variationsR. Fioresi, J. Petkovic2022arxiv 2202.07432
A Parallel Way to Select the Parameters of SVM Based on the Ant Optimization AlgorithmChao Zhang, Hong-cen Mei, Hao Yang2014arxiv 1405.4589
Churn analysis using deep convolutional neural networks and autoencodersArtit Wangperawong, Cyrille Brun, Olav Laudy2016arxiv 1604.05377
Visualizing and Comparing Convolutional Neural NetworksWei Yu, Kuiyuan Yang, Yalong Bai2014arxiv 1412.6631
Gibbs Sampling with Low-Power Spiking Digital NeuronsSrinjoy Das, Bruno Umbria Pedroni, Paul Merolla2015arxiv 1503.07793
Automatic Script Identification in the WildBaoguang Shi, Cong Yao, Chengquan Zhang2015arxiv 1505.02982
Towards Automated Melanoma Screening: Exploring Transfer Learning SchemesAfonso Menegola, Michel Fornaciali, Ramon Pires2016arxiv 1609.01228