Convolutional Neural Networks

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21 papers in the last 28 days · 0.3% of indexed attention

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ImagenetImage ClassificationConvolutionalResnet-18Temporal Convolutional Networks3D Convolutional Neural NetworksEfficientnet Encoder

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Period ending 2026-09-21

9 new papers

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Period ending 2026-09-14

6 new papers

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Period ending 2026-09-07

2 new papers

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257 papers

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  1. ZENITH: Automated Gradient Norm Informed Stochastic Optimization

    Jan 21, 2026Dhrubo SahaStochastic Gradient DescentRegularization Techniques

  2. Uncertainty-Aware Domain Adaptation for Vitiligo Segmentation in Clinical Photographs

    Dec 12, 2025Wentao Jiang, Vamsi Varra, Caitlin Perez-Stable +3Skin Lesion ClassificationDomain Adaptation

  3. SparsePixels: Efficient Convolution for Sparse Data on FPGAs

    Dec 5, 2025Ho Fung Tsoi, Dylan Rankin, Vladimir Loncar +1Sparse Deep Neural Network AcceleratorsField-Programmable Gate Arrays

  4. Unifying Convolution and Attention via Convolutional Nearest Neighbors

    Nov 18, 2025Mingi Kang, Jeová Farias Sales Rocha NetoConvolutional Neural NetworksConvolutional

  5. QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification

    Nov 7, 2025Amin Golnari, Jamileh Yousefi, Reza Moheimani +1Multimodal Physiological SignalsConvolutional Neural Networks

  6. Conditional Clifford-Steerable CNNs for PDE Modeling

    Oct 15, 2025Bálint László Szarvas, Maksim ZhdanovConvolutional Neural NetworksPartial Differential Equations

  7. Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI

    Oct 1, 2025Akchunya Chanchal, David A. Kelly, Hana ChocklerExplainabilityExplainable Artificial Intelligence

  8. A Flow-rate-conserving CNN-based Domain Decomposition Method for Blood Flow Simulations

    Sep 19, 2025Simon Klaes, Axel Klawonn, Natalie Kubicki +4Fluid Dynamics6-Dof Viscoelastic Mechanism

  9. Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

    Sep 5, 2025Inés Gonzalez-Pepe, Vinuyan Sivakolunthu, Yohan Chatelain +1Neuroimaging ModelsBrain Tumor Segmentation

  10. Tactile Gesture Recognition with Built-in Joint Sensors for Industrial Robots

    Aug 17, 2025Deqing Song, Weimin Yang, Maryam Rezayati +1Hand Gesture RecognitionHuman-Robot Collaboration

  11. Disassociating performance from compositional feature learning

    May 14, 2025George Dimitriadis, Spyridon SamothrakisOut-Of-DistributionFeature Learning

  12. Comparative Analysis of Lightweight CNNs for Resource-Constrained Devices: Predictive Performance, Efficiency Trade-offs, and Initialization Effects

    May 6, 2025Tasnim ShahriarMobilenetv2Efficientnet Encoder

  13. Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations

    Feb 23, 2025Laurin Lux, Alexander H. Berger, Maria Romeo Tricas +8Interpretable Diabetic Retinopathy GradingMedical Image Classification

  14. Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis

    Jul 22, 2024Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani +6Convolutional Neural NetworksCognitive Load

  15. GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition

    Mar 22, 2024Lei Jiang, Weixin Yang, Xin Zhang +1Skeleton-Based Action RecognitionTemporal Graphs

  16. Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs

    Oct 11, 2023Julia Werner, Christoph Gerum, Moritz Reiber +2Video Capsule EndoscopyConvolutional Neural Networks

  17. State-specific respiratory signatures for affective and stress recognition: Interpretable respiratory markers, autocorrelation lags, and compact CNN models

    Date pendingAndrei Velichko, Mehmet Tahir HuyutRespiratory Sound ClassificationTrier Social Stress Test