Convolutional Neural Networks

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  1. EcoBin: A Two-Stage Deep Convolutional Neural Network for Contamination-Aware Waste Classification

    Jun 14, 2026Raghav Senthil KumarWasteObject Classification

  2. Bayesian 3D Steerable CNNs: Enabling Equivariance and Uncertainty Quantification Simultaneously

    Jun 13, 2026Abhishek Keripale, Ponkrshnan Thiagarajan, Susanta GhoshBayesian Neural NetworksReliable Uncertainty Quantification

  3. A Hybrid Model-Based and Model-Free Framework for Active Multi-View Viewpoint Optimization in Sonar Target Recognition

    Jun 13, 2026Yongkyoon Park, Jane ShinForward-Looking SonarMulti-View

  4. MNet++: Extended 2D/3D Networks for Anisotropic Medical Image Segmentation

    Jun 13, 2026Kirsten Odendaal, Rade BajicMedical Image SegmentationU-Net

  5. SGFormer++: Semantic Graph Transformer for Incremental 3D Scene Graph Generation

    Jun 13, 2026Mengshi Qi, Changsheng Lv, Zijian Fu +23D Scene GraphsConvolutional Neural Networks

  6. Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learning

    Jun 13, 2026Daniel Vila-Cruz, Laura Morán-Fernández, Verónica Bolón-CanedoTransfer LearningHybrid Transformer

  7. HiRo: A Compact Four-Directional Hierarchical Reservoir Token-Mixer for Efficient Image Classification

    Jun 13, 2026Md Farhadul Islam, Ishan Thakkar, J. Todd HastingsImage ClassificationResnet-18

  8. FlexPooling with Simple Auxiliary Classifiers in Deep Networks

    Jun 12, 2026Muhammad Ali, Omar Alsuwaidi, Salman KhanConvolutional Neural NetworksDeep Network

  9. GRAPE: Guided Parameter-Space Evolution for Compact Adversarial Robustness

    Jun 12, 2026Zhiyuan Ye, Xiangyu Zhou, Ji Qi +2Adversarial TransferabilityResnet-18

  10. SED:Lightweight Saliency prediction for Event-based data via Distillation

    Jun 12, 2026Romaric Mazna, Jean Martinet, Michele MagnoSaliencyConvolutional

  11. Rethinking Global Average Pooling: Your Classifier Is Secretly a Multi-Instance Learner

    Jun 12, 2026Aray KarjauvMultiple Instance LearningImage Classification

  12. Squeeze-Release: Iterative Pruning with Exact Structural Minimization

    Jun 12, 2026Roman Denkin, Ida Akerholm, Prashant Singh +1Heterogeneous Pruning ScoresPruning

  13. Point-Wise Geometry-Aware Transformer for Partial-to-Full Point Cloud Registration in Computer-Assisted Surgery

    Jun 11, 2026Siyu Zhou, Zhongliang JiangPoint Cloud RegistrationSemantic-Geometric Representations

  14. Two-Stage Fine-Tuning of ResNet50 for High-Sensitivity Melanoma Detection on Dermoscopic Images

    Jun 11, 2026Aryan BhagatSkin Lesion ClassificationResnet-18

  15. FedSPC: Shared Parameter Correction for Personalized Federated Learning

    Jun 11, 2026Kannanthodath Induchoodan Ajay Menon, Christian Prehofer, Yunfei Xu +1Federated LearningPrivacy-Preserving Framework

  16. Enhanced Low-Density Region Exploration in Classifier-Guided Diffusion Models Through Modified Reverse Diffusion Sampling

    Jun 11, 2026Jagriti Singh, Shekhar Verma, Muneendra OjhaDiffusion SamplingImagenet

  17. OR-Action: Multi-Role Video Understanding with Fine-Grained Actions

    Jun 11, 2026Felix Tristram, Ege Özsoy, Christian Benz +3Open-Vocabulary Action RecognitionFine-Grained Actions

  18. Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks

    Jun 11, 2026Kathleen Anderson, Philipp Grüning, Erhardt BarthConvolutional Neural NetworksActivation Functions

  19. MP3: Multi-Period Pattern Pre-training for Spatio-Temporal Forecasting

    Jun 11, 2026Lilan Peng, Yandi Liu, Qingren Yao +2Spatio-Temporal ForecastingTemporal Graph Neural Networks

  20. Emotional regulation improves deep learning-based image classification

    Jun 11, 2026Riccardo Emanuele Landi, João M. F. Rodrigues, Marta ChinniciImage ClassificationArtificial Intelligence Systems

  21. Augmentation techniques for video surveillance in the visible and thermal spectral range

    Jun 11, 2026Vanessa Buhrmester, Ann-Kristin Grosselfinger, David Munch +1InfraredSynthetic Data Augmentation

  22. Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration

    Jun 11, 2026Dongyue Wu, Zilin Guo, Xiaoyu Li +4Heterogeneous Pruning ScoresGraph Representation Learning

  23. Learning Task-Aware Sampling with Shared Saliency through Density-Equalizing Mappings

    Jun 11, 2026Tsz Lok Ip, Han Zhang, Lok Ming LuiReceptive FieldsConvolutional Neural Networks

  24. Performance Analysis and Optimization of 3D Generative Diffusion Models across GPU Architectures

    Jun 11, 2026Jeeho Ryoo, Yongchan Jung, Muhammad Ali Khaliq +33D Latent Diffusion ModelTensor Programs

  25. Feature extraction for plant growth estimation

    Jun 10, 2026Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. DavelApple Tree Leaf Disease Segmentation DatasetFeature Extraction

  26. ERN-Net : Evolving Reason Node-Net for Document Binarization

    Jun 10, 2026Hsin-Jui Pan, Sheng-Wei Chan, Jen-Shiung ChiangBinarizationResnet-18

  27. Encoding the Euler Characteristic Transform

    Jun 9, 2026Nello Blaser, Odin Hoff Gardaa, Lars M. Salbu +2Convolutional Neural NetworksInductive Bias

  28. Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data

    Jun 9, 2026Anik GhoshHuman Activity RecognitionZero-Shot Inference

  29. Vision-Assisted Foundation Model for Solving Multi-Task Vehicle Routing Problems

    Jun 9, 2026Shuangchun Gui, Zhiguang Cao, Wen Song +1Vehicle Routing ProblemMulti--Task Learning

  30. An Empirical Analysis of Optimization Dynamics and Sparsity Boundaries in Large-Scale Pedestrian Attribute Recognition

    Jun 9, 2026Houssam El MirPedestrian DetectionFocal Loss

  31. Building Change Detection in Earthquake: A Multi-Scale Interaction Network and A Change Detection Dataset

    Jun 9, 2026Yunlong Liu, Zekai ZhangChange DetectionPost-Disaster Damage Assessment

  32. End-to-End Optimization of Incoherent Imaging for Classification Under Detector-Limited Readout

    Jun 8, 2026Archer Wang, Joshua Chen, Sachin Vaidya +1Image ClassificationObject Classification

  33. Muon Learns More Robust and Transferable Features than Adam

    Jun 8, 2026Tianyu Ruan, Fengzhuo Zhang, Shuche Wang +1AdamFeature Learning

  34. Spatial Priors via Space Filling Curves for Small and Limited Data Vision Transformers

    Jun 8, 2026Leyla Naz Candogan, Arshia Afzal, Pol Puigdemont +1Self-Supervised Vision TransformersVision Transformer

  35. Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets

    Jun 8, 2026Fuli Wang, Wei Qian, Daniel L. Lau +1HypergraphsU-Net

  36. PolyBuild: An End-to-End Method for Polygonal Building Contour Extraction from High-Resolution Remote Sensing Images

    Jun 8, 2026Yaoteng Zhang, Julin Zhang, Guangshuai Wang +4ContoursRemote Sensing Image Segmentation

  37. Classifying galaxies in the Galaxy10 DECals dataset using Inception and Residual CNNs

    Jun 7, 2026Lanz Anthonee A. Lagman, Prospero C. Naval, Reinabelle C. ReyesConvolutional Neural NetworksResidual Connections

  38. Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment

    Jun 7, 2026Mohammadnavid Ghader, Saeed Reza Kheradpisheh, Bahar Farahani +1Single Forward PassConvolutional Neural Networks

  39. SMI: Efficient Self-Supervised Learning via Mutual-Information-Inspired Dependency Optimization

    Jun 6, 2026Pritam Mishra, Coloma Ballester, Dimosthenis KaratzasSelf-SupervisedRepresentation Learning

  40. New Fractional Ambiguity Function Integrated with CNN-Based Machine Learning for Signal Classification

    Jun 6, 2026Aamir H. Dar, Prakhar Kumar Sonkar, Neeraj Kumar SharmaTime-FrequencyFourier

  41. Balancing Real and Synthetic Data for CNN-based Masonry Crack Detection

    Jun 6, 2026Mattia Forlesi, Alfonso Esposito, Ivan Zyrianoff +2Synthetic DataConvolutional Neural Networks

  42. AsyncPatch Diffusion: spatially-flexible image generation

    Jun 5, 2026Samuele Papa, Valentin De Bortoli, Guillaume Couairon +3Discrete Diffusion ModelLarge-Scale Image Generation

  43. When is 3D Worth It? A Resource-Performance Frontier for CNNs and Transformers in Lung CT

    Jun 5, 2026Md Enamul Hoq, Sharafat Hossain, Imraul Emmaka +4Computed Tomography DatasetNon-Small Cell Lung Cancer

  44. LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

    Jun 5, 2026Yonghan Shin, Won-Ki JeongWhole-Slide ImagesMultiple Instance Learning

  45. Rethinking Infrastructure Inspection as Image Difference Classification: A Traffic Sign Case Study

    Jun 4, 2026Ching Yau Fergus Mok, Lavindra de Silva, Varun Kumar Reja +1Traffic Sign RecognitionInspection

  46. Comparison of Deep Learning Frameworks For Rice Disease Mapping From UAV Multispectral Imaging

    Jun 4, 2026Yadav Raj Ghimire, Jagrati Talreja, Tewodros Syum Gebre +3Tomato DiseasesApple Tree Leaf Disease Segmentation Dataset

  47. Synthetic Benchmarks Overstate Forward-Forward Scaling: Real-Data Limits of Layer-Local Training

    Jun 4, 2026Yucheng ChenSingle Forward PassSingular Learning Theory

  48. What's Under the Skin? Estimating Swine Body Condition

    Jun 4, 2026Mk Bashar, Kuljit Bhatti, Gary Rohrer +3MixformerResnet-18

  49. Uncertainty-Aware Adaptive Sensor Fusion for Autonomous Navigation

    Jun 3, 2026Simegnew Yihunie Alaba, Yuichi MotaiMulti-Sensor FusionAutonomous Navigation

  50. Evidence-Guided Neural Architecture Selection under Uncertainty for Subject-Specific Blood Glucose Forecasting

    Jun 3, 2026Md Azharul Islam, Dwyer Deighan, Tarunraj Singha +1Continuous Glucose MonitoringNeural Architecture Search

  51. Generating Financial Time Series by Matching Random Convolutional Features

    Jun 3, 2026Konrad J. Mueller, Nikita Zozoulenko, Ben Wood +2Synthetic Time SeriesTime Series

  52. Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning

    Jun 3, 2026Fan Zhang, Sijin Zheng, Fei Ma +4Synthetic Aperture RadarDomain Incremental Learning

  53. ChannelTok: Efficient Flexible-Length Vision Tokenization

    Jun 3, 2026Sukriti Paul, Arpit Bansal, Tom GoldsteinVisual TokensTokenization

  54. Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-Free Quantization of Vision Transformers

    Jun 3, 2026Biao Qian, Yang Wang, Yong Wu +1Extreme Low-Bit QuantizationVision Transformer

  55. Gauss Circle Lattices with Geometric Convolutions for Synthesizing High Dimensional Image-Source Room Impulse Responses

    Jun 3, 2026Yuancheng LuoImpulse ResponseLattice

  56. Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes

    Jun 3, 2026Bin Duan, Meiru Che, Guowei YangBayesian Neural NetworksNeural Network Verification

  57. Applying Deep Learning for cockpit segmentation in the context of mixed reality

    Jun 2, 2026Alexandre Leles Sousa, Pedro de Oliveira Nielson, Erick Oliveira Rodrigues +2Virtual RealityConvolutional Neural Networks

  58. Dynamic Short Convolutions Improve Transformers

    Jun 2, 2026Oliver Sieberling, Bharat Runwal, Rameswar Panda +1Transformer ArchitecturesConvolutional

  59. Beyond Compression: Quantifying Spectral Accessibility in Vision Representations

    Jun 2, 2026Akayou A. Kitessa, Yijun ZhaoVision EncodersImagenet

  60. UtVAA: Ultra-tiny Vision Transformer with Affix Attention for Mobile Image Classification

    Jun 2, 2026Romiyal George, Sathiyamohan Nishankar, Selvarajah Thuseethan +1Self-Supervised Vision TransformersMobilenetv2