Convolutional Neural Networks

Also known as CNN

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

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CSWinUNETR: Segmentation of Thin Anatomical Structures in Medical Images
Jun 18, 2026Junho Moon, Haejun Chung, Ikbeom JangHybrid CNN-Transformer Architectures Efficient Attention
Hanyang University, Seoul, Republic of Korea · Hankuk University of Foreign Studies, Yongin, Republic of Korea
ITNet: A Learnable Integral Transform That Subsumes Convolution, Attention, and Recurrence
Jun 17, 2026Ashim Dhor, Rasel Mondal, Pin-Yu ChenTransformer Attention Convolutional Neural Networks
Indian Institute of Science Education and Research Bhopal · IBM Research
Multi-Class Brain Tumor Classification Using Advanced Deep Learning Models: A Comparative Study
Jun 17, 2026Asad Channa, Asghar Ali Chandio, Akhtar Hussain Jalbani +2Medical Image Classification Multiclass Classification
Department of Computer Science, Quaid-e-Awam University of Engineering, Sciences & Technology, Paksitan · Department of Artificial Intelligence, Quaid-e-Awam University of Engineering, Sciences & Technology, Pakistan · The Faculty of Artificial Intelligence and Cyber Security, Universiti Teknikal Malaysia Melaka +2
Experimental Analysis of Neural Network-Based Image Classification on the CIFAR-10 Dataset
Jun 17, 2026Necati Kagan Erkek, Emre Balci, Berkin HalayNeural Network Generalization Convolutional Neural Networks
Department of Electronics and Communication Engineering, Istanbul Technical University, Istanbul, Turkey
An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms
Jun 15, 2026Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli +1Efficient Neural Network Inference Tiny ML
Dept. of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy · Department of Excellence in Robotics & AI and Institute of Mechanical Intelligence, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
MNet++: Extended 2D/3D Networks for Anisotropic Medical Image Segmentation
Jun 13, 2026Kirsten Odendaal, Rade BajicMedical Image Segmentation 3D Medical Image Segmentation
School of Computing · Georgia Institute of Technology · Atlanta, GA, USA
FlexPooling with Simple Auxiliary Classifiers in Deep Networks
Jun 12, 2026Muhammad Ali, Omar Alsuwaidi, Salman KhanConvolutional Neural Networks Image Classification
Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence · Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE
CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification
Jun 12, 2026Rafi Ahamed, Md. Abir Rahman, Tasnia Tarannum Roza +3Plant Disease Classification Explainable Image Classification
Dept. of CSE East West University Dhaka, Bangladesh
SED:Lightweight Saliency prediction for Event-based data via Distillation
Jun 12, 2026Romaric Mazna, Jean Martinet, Michele MagnoEvent-Based Vision Edge Inference
i3S/CNRS, Universit´e Cˆote d’Azur · ETH Zürich
Running hardware-aware neural architecture search on embedded devices under 512MB of RAM
Jun 12, 2026Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +1Hardware-Aware NAS Convolutional Neural Networks
Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture, DITEN University of Genoa, Genoa 16145, Italy · Department of Excellence in Robotics & AI, Institute of Mechanical Intelligence, Scuola Superiore Sant’Anna, Pisa 56127, Italy
Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks
Jun 11, 2026Kathleen Anderson, Philipp Grüning, Erhardt BarthFeature Interaction Modeling Convolutional Neural Networks
Institute for Neuro- and Bioinformatics University of Lübeck Germany
Augmentation techniques for video surveillance in the visible and thermal spectral range
Jun 11, 2026Vanessa Buhrmester, Ann-Kristin Grosselfinger, David Munch +1Multimodal Robustness Data Augmentation
Fraunhofer IOSB, Gutleuthausstraße 1, 76275 Ettlingen, Germany
Learning Task-Aware Sampling with Shared Saliency through Density-Equalizing Mappings
Jun 11, 2026Tsz Lok Ip, Han Zhang, Lok Ming LuiGeometric Representation Learning Convolutional Neural Networks
Department of Mathematics, The Chinese University of Hong Kong, Hong Kong, China. · Department of Mathematics, City University of Hong Kong, Hong Kong, China.
Categorical Robustness Assessment for Machine Learning based Network Intrusion Detection Systems
Jun 10, 2026Mayank Raj, Nathaniel D. Bastian, Lance Fiondella +1IoT Intrusion Detection Adversarial Attacks
University of Massachusetts Dartmouth, Dartmouth, MA 02747 USA · United States Military Academy, West Point, NY 10996 USA
ERN-Net : Evolving Reason Node-Net for Document Binarization
Jun 10, 2026Hsin-Jui Pan, Sheng-Wei Chan, Jen-Shiung ChiangConvolutional Neural Networks Document Image Understanding
Dept. of Electrical Engineering Tamkang University
Optimizing 2D Input Representations and Sub-phase Fusion Strategies for Differential Diagnosis of Asthma and COPD Using CNN- and GRU-Based Networks
Jun 9, 2026Ipek Sen, Ozgur Ozdemir, Elena Battini SonmezMedical Diagnosis Convolutional Neural Networks
Dept. Electrical and Electronics Engineering Istanbul Bilgi University, Turkey · Dept. Computer Engineering Istanbul Bilgi University, Turkey
Hybrid Robustness Verification for Spatio-Temporal Neural Networks
Jun 8, 2026Sherwin Varghese, Matthew Wicker, Alessio LomuscioNeural Network Verification Neural Network Robustness
Imperial College London, United Kingdom
Automating the Expert Eye: A System-Agnostic Deep Learning Framework for Rare Event Discovery in Imbalanced Force Spectroscopy
Jun 8, 2026Jorge Rodriguez-RamosClass-Imbalanced Learning Convolutional Neural Networks
Independent Researcher, Marseille, France
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 Networks
Data Science Program, College of Science, University of the Philippines - Diliman, Philippines · Department of Computer Science, College of Engineering, University of the Philippines - Diliman, Philippines · National Institute of Physics, College of Science, University of the Philippines - Diliman, Philippines
Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment
Jun 7, 2026Mohammadnavid Ghader, Saeed Reza Kheradpisheh, Bahar Farahani +1Adaptive Loss Weighting Convolutional Neural Networks
Department of Computer and Data Science, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran · Cyberspace Research Institute, Shahid Beheshti University, Tehran, Iran · Cybersecurity and Computing Systems Research Group, University of Hertfordshire, Hatfield, United Kingdom
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 +4Vision Transformer 3D Medical Imaging
Department of Biomedical Informatics, University of Arkansas for Medical Sciences · Department of Information Science, University of Arkansas at Little Rock · Department of Neuroscience, University of Arkansas for Medical Sciences
Three-Dimensional Retinal Microvasculature Restoration in OCT Angiography
Jun 3, 2026Yukun Guo, Min Gao, Tristan T. Hormel +3Medical Imaging 3D Medical Imaging
Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA · Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
Dynamic Short Convolutions Improve Transformers
Jun 2, 2026Oliver Sieberling, Bharat Runwal, Rameswar Panda +1Dynamic Convolution Transformer
Massachusetts Institute of Technology · MIT-IBM Watson AI Lab
Training a Predictive Coding Network on ImageNet using Equilibrium Propagation
Jun 2, 2026Tugdual Kerjan, Rasmus Høier, Benjamin ScellierEquilibrium Propagation Predictive Coding
Rain AI
SaluNet: Enabling Total Plasticity in Normalization-Free Deep Networks
Jun 1, 2026Mourad ZaiedNeural Network Activation Functions Convolutional Neural Networks
University of Gabes, Tuisia · Department of electrical engineering National Engineering School of Gabes (ENIG) University of Gabes Avenue Omar Ibn El Khattab, Zrig Eddakhlania 6029, Gabes, Tunisia
From Local Training to Large-Scale Mapping: A Comparative Assessment of Machine Learning and Deep Learning for Transferable Satellite-Derived Bathymetry
Jun 1, 2026Hsiao-Jou Hsu, Joachim MoortgatRemote Sensing Cross-Domain Transfer Learning
School of Earth Sciences, The Ohio State University, 275 Mendenhall Laboratory, 125 South Oval Mall, Columbus, OH 43210, USA
Theoretical Aspects of Lie Groupoid and Lie Algebroid Equivariant Convolutional Neural Networks
Jun 1, 2026Michael AstwoodEquivariant Neural Networks Convolutional Neural Networks
Department of Mathematics, University of Manitoba, Winnipeg, MB, R3T 2M6 Canada
GloResNet: A lightweight 3D CNN with global topological features for preterm brain injury prediction
Jun 1, 2026Boyu Yuan, Jiamiao Lu, Weichuan Zhang +53D Medical Imaging Medical Image Classification
Image Computing Laboratory, Shaanxi University of Science and Technology, Xi’an, China · Department of Neonatology, Shenzhen University of Advanced Technology General Hospital, Shenzhen, China · Department of Neurosurgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China +1
A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs
Jun 1, 2026Nicolas Stalder, Benjamin F. Grewe, Matteo Saponati +1Neural Network Robustness Adversarial Robustness
Institute of Neuroinformatics
Symmetry-Aware 9D Pose Estimation with Sim(3)-Consistent Feature and Spherical Inception Convolution
Jun 1, 2026Panfei Cheng, Hongshan Yu, Wenrui Chen +3Object Pose Estimation Convolutional Neural Networks
National Engineering Research Center for Robot Visual Perception and Control, School of Robotics and Artificial Intelligence, Hunan University, Changsha 410012, China

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CSWinUNETR: Segmentation of Thin Anatomical Structures in Medical Images

Junho Moon, Haejun Chung, Ikbeom Jang

Hanyang University, Seoul, Republic of Korea · Hankuk University of Foreign Studies, Yongin, Republic of Korea

Hybrid CNN-Transformer Architectures Efficient Attention Medical Image Segmentation 3D Medical Image Segmentation Convolutional Neural Networks

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Accurate segmentation of thin, tortuous anatomical structures, such as retinal vessels, cerebral vasculature, and facial wrinkles, remains challenging due to low contrast, frequent discontinuities, and severe class imbalance. Although recent convolutional and Transformer-based models have improved performance, they often yield fragmented predictions and fail to recover fine branches. We propose CSWinUNETR, a general-purpose backbone for 2D and 3D thin-structure segmentation. It employs cross-shaped stripe self-attention to model long-range principal-axis context and incorporates cyclic shifts to enhance information exchange across stripes. To better preserve fine-grained details, we further introduce a detail-enhanced multi-scale self-attention module that aggregates contextual features from multi-resolution representations. In addition, we propose sparse-control dynamic snake convolution, which reconstructs reliable dense curvilinear kernels from sparsely predicted control points to better follow tortuous geometry. Extensive experiments on four benchmarks across ophthalmology, neurovascular imaging, and dermatology demonstrate that CSWinUNETR consistently outperforms state-of-the-art methods without task-specific post-processing or topology-aware losses. The code is available at https://github.com/labhai/CSWinUNETR.