Convolutional Neural Networks

Also known as CNN

Latest papers 397

39 papers in the last four weeks, up 26% on the four weeks before. 0.2% of all new papers.

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  1. Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation

    Apr 9, 2026Andi Gu, J. Pablo Bonilla Ataides, Mikhail D. Lukin +1Quantum Error CorrectionNeural Decoding

  2. Tensor-Augmented Convolutional Neural Networks: Enhancing Expressivity with Generic Tensor Kernels

    Apr 9, 2026Chia-Wei Hsing, Wei-Lin TuConvolutional Neural NetworksNeural Network Expressivity

  3. FireSenseNet: A Dual-Branch CNN with Cross-Attentive Feature Interaction for Next-Day Wildfire Spread Prediction

    Apr 9, 2026Jinzhen Han, JinByeong Lee, Hak Han +2Wildfire ForecastingConvolutional Neural Networks

  4. Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation

    Apr 9, 2026Yanbo Gao, Huibin Bai, Huasong Zhou +6Monocular Depth EstimationConvolutional Neural Networks

  5. TeaLeafVision: An Explainable and Robust Deep Learning Framework for Tea Leaf Disease Classification

    Apr 8, 2026Rafi Ahamed, Sidratul Moon Nafsin, Md Abir Rahman +3Plant Disease ClassificationConvolutional Neural Networks

  6. Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification

    Apr 8, 2026Euclid Collaboration, X. Xu, R. Chen +308Convolutional Neural NetworksImage Classification

  7. YMIR: A new Benchmark Dataset and Model for Arabic Yemeni Music Genre Classification Using Convolutional Neural Networks

    Apr 6, 2026Moeen AL-Makhlafi, Abdulrahman A. AlKannad, Eiad Almekhlafi +2Music Information RetrievalAudio Classification

  8. Measuring Robustness of Speech Recognition from MEG Signals Under Distribution Shift

    Apr 5, 2026Sheng-You Chien, Bo-Yi Mao, Yi-Ning Chang +1Distribution Shift RobustnessNeural Decoding

  9. SAGE-GAN: Towards Realistic and Robust Segmentation of Spatially Ordered Nanoparticles via Attention-Guided GANs

    Apr 4, 2026Anindya Pal, Varun Ajith, Saumik Bhattacharya +1Image SegmentationMicroscopy Image Analysis

  10. ROMAN: A Multiscale Routing Operator for Convolutional Time Series Models

    Apr 2, 2026Gonzalo UribarriTime Series ClassificationMultiscale Time-Series Modeling

  11. Photonic convolutional neural network with pre-trained in situ training

    Apr 2, 2026Saurabh Ranjan, Sonika Thakral, Amit SehgalPhotonic ComputingEfficient Neural Network Inference

  12. Perceptual misalignment of texture representations in convolutional neural networks

    Apr 1, 2026Ludovica de Paolis, Fabio Anselmi, Alessio Ansuini +1Convolutional Neural NetworksVisual Neuroscience

  13. Central limit theorems for the outputs of fully convolutional neural networks with time series input

    Mar 31, 2026Annika Betken, Giorgio Micali, Johannes Schmidt-HieberConvolutional Neural Networks

  14. The Geometry of Polynomial Group Convolutional Neural Networks

    Mar 31, 2026Yacoub Hendi, Daniel Persson, Magdalena LarforsConvolutional Neural NetworksPolynomial Neural Networks

  15. Post-hoc Self-explanation of CNNs

    Mar 30, 2026Ahcène Boubekki, Line H. ClemmensenNeural Network InterpretabilityExplainable Image Classification

  16. Object Detection Based on Distributed Convolutional Neural Networks

    Mar 30, 2026Liang SunObject DetectionConvolutional Neural Networks

  17. TTE-CAM: Self-Explainable Class Activation Maps for Pretrained Black-Box CNNs

    Mar 27, 2026Kerol Djoumessi, Philipp BerensExplainable Image ClassificationNeural Network Interpretability

  18. NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs

    Mar 26, 2026Inês Valentim, Nuno Antunes, Nuno LourençoAdversarial RobustnessConvolutional Neural Networks

  19. Reservoir-Based Graph Convolutional Networks

    Mar 25, 2026Mayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub +1Graph Neural NetworksConvolutional Neural Networks

  20. An Explainable AI-Driven Framework for Automated Brain Tumor Segmentation Using an Attention-Enhanced U-Net

    Mar 24, 2026MD Rashidul Islam, Bakary GibbaBrain Tumor SegmentationConvolutional Neural Networks

  21. WaveSFNet: A Wavelet-Based Codec and Spatial--Frequency Dual-Domain Gating Network for Spatiotemporal Prediction

    Mar 24, 2026Xinyong Cai, Runming Xie, Hu Chen +1Spatiotemporal ForecastingConvolutional Neural Networks

  22. L-UNet: An LSTM Network for Remote Sensing Image Change Detection

    Mar 24, 2026Shuting Sun, Lin Mu, Lizhe Wang +1Remote Sensing Change DetectionU-Net

  23. GradAttn: Replacing Fixed Residual Connections with Task-Modulated Attention Pathways

    Mar 23, 2026Soudeep Ghoshal, Himanshu BuckchashConvolutional Neural NetworksAttention Residual Connections

  24. SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting

    Mar 23, 2026Nikolas Stavrou, Siamak MehrkanoonPrecipitation NowcastingU-Net

  25. SparseVoxelDet: Fully Sparse Voxel Networks for Efficient Event-Based Drone Detection

    Mar 23, 2026Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike BanadEvent-Based Object DetectionEfficient Object Detection

  26. Efficiency Follows Global-Local Decoupling

    Mar 20, 2026Zhenyu Yang, Gensheng Pei, Tao Chen +4Efficient Neural Network InferenceVisual Representation Learning

  27. Benchmarking CNN-based Models against Transformer-based Models for Abdominal Multi-Organ Segmentation on the RATIC Dataset

    Mar 19, 2026Lukas Bayer, Sheethal Bhat, Andreas MaierMedical Image SegmentationHybrid CNN-Transformer Architectures

  28. LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression

    Mar 18, 2026Tamer ShanablehVideo Representation LearningNeural Video Compression