Overview

U-Net studies U-shaped encoder–decoder networks that combine coarse context with fine spatial detail through skip connections, especially for image segmentation. Researchers adapt the basic design with attention, residual and nested blocks, 2D or 3D convolutions, and transformer or state-space modules; it is also used for image restoration and scientific prediction. Applications range from medical scans and microscopy to satellite imagery, weather, and physical fields, where reliable spatial outputs matter. A central tension is whether added architectural complexity improves accuracy and generalization enough to justify its costs, since simple U-Nets remain strong baselines and results depend heavily on data and evaluation settings.

Latest papers

CardsList

109 papers5 papers in the last four weeks, down 72% on the four weeks before. 0.0% of all new papers.

  1. Accuracy and efficiency of compact foundation models for surface-water mapping during floods

    Oct 26, 2026Parastoo Farajpoor, Mohammadreza NarimaniFlood Inundation MappingGeospatial Foundation Models

  2. MoWE: Spatially Adaptive Mixture-of-Wavelet-Experts Pooling for Ultrasound Lesion Segmentation

    Oct 18, 2026Reaz Hassan Joarder, Sidratul Tanzila Tasmi, Alif Arshad Bakshi +2Ultrasound Image SegmentationMixture of Experts

  3. Denoise X: Self-Supervised U-Net for Quantum Mottle Suppression in Chest Radiography

    Oct 13, 2026Parth Giramkar, Aryan Patle, Vanita KshirsagarImage DenoisingSelf-Supervised Image Denoising

  4. Deep Learning-based Semantic Segmentation of Dental Radiographs: Comparative Evaluation of PSPNet, DeepLabv3, UNet, and UNet++

    Oct 10, 2026Malithi Nawarathne, Nadeesha Herath Mudiyanselage Lihini SangeethaMedical Image SegmentationSemantic Segmentation

  5. DEX: Digit-Level Early Exit for Energy-Efficient MSDF Neural Network Inference

    Oct 8, 2026Yousef Sadegheih, Dorit Merhof, Muhammad UsmanEfficient Neural Network InferenceEarly-Exit Neural Networks

  6. Determining Vertical Displacement of Agricultural Areas Using UAV-Photogrammetry and a Heteroscedastic Deep Learning Model

    Sep 30, 2026Wojciech Gruszczyński, Edyta Puniach, Paweł Ćwiąkała +1U-NetUAV Remote Sensing

  7. Parameter-Efficient 3D Segmentation of Liver and Liver tumors: Depthwise factorization Scales Better Than Dense Convolution with Spatial Dimensionality

    Sep 27, 2026Adham M. Alkhadrawi, Mohammed A. B. MahmoudDepthwise Separable ConvolutionMedical Image Segmentation

  8. Beyond Sparsity: Weight Location and Network Context in Pruned MRI Reconstruction

    Sep 25, 2026Mohammed Wattad, Tamir Shor, Alexander M. BronsteinNeural Network PruningAccelerated MRI Reconstruction

  9. Multi-Resolution Feature Fusion U-Net for Magnetic Resonance Imaging Segmentation

    Sep 24, 2026Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitris K. IakovidisMedical Image SegmentationU-Net

  10. Lightweight Vision Transformer-Based U-Net for Brain Tumor Segmentation from MRI

    Sep 24, 2026Sheekar Banerjee, Md. Srabon Chowdhury, Md. Mahbub Hasan Akash +1Hybrid CNN-Transformer ArchitecturesVision Transformer

  11. Lightweight Probabilistic Downscaling from a Deterministic Base Model

    Sep 24, 2026Joseph McLean, Tiffany Vlaar, Sigrid Passano Hellan +1Climate ScienceU-Net

  12. TinyCardioUNet: IMU-to-ECG Translation with Graph-Encoded Inter-Axis Dependencies and Tensor Decomposition-Based Parameter Reduction

    Sep 24, 2026Seungwoo Han, Ingon Chanpornpakdi, Motoi Noda +3ElectrocardiographyU-Net

  13. Brain Metastases Segmentation for BraTS 2026 Task 1: A Multi-Architecture Comparison

    Sep 21, 2026Mahdi Islam, Musarrat TabassumU-NetMedical Image Segmentation

  14. U-PEN Mamba: Progressive Expansion with Selective State-Space Modeling for Efficient Retinal Vessel Segmentation

    Sep 21, 2026Abel A. Reyes-Angulo, Sidike Paheding, Vijayan K. Asari +2MambaRetinal Vessel Segmentation

  15. VGG16-MCA UNet: Whole-Tumor Segmentation in 2D FLAIR MRI with Decoder-Side Channel Attention

    Sep 20, 2026Shubham Gajjar, Deep Joshi, Avi Poptani +1U-NetChannel Attention

  16. Decoder Design Matters for ECG Delineation

    Sep 15, 2026Joseph Scharpf, William Han, Chaojing Duan +3ElectrocardiographyU-Net

  17. Task-Directed Residual AddUNet:Perfect-Reconstruction Routing for Full-Rate Representations

    Sep 14, 2026Vikram R. LakkavalliAudio Representation LearningRepresentation Learning

  18. Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026

    Sep 14, 2026Tristan Kirscher, Vivian Metzger, Philippe Meyer +1Neural Network GeneralizationU-Net

  19. DU-NO: A Parameter-Efficient Double U-Shaped Neural Operator for Phase-Resolving Wave Modeling

    Sep 10, 2026Enrique Hernandez Noguera, Md Meftahul Ferdaus, Nathan Cooper +2U-NetPDE Operator Learning

  20. MSCA-UNet: Multi-Scale Context and Attention U-Net for Image Segmentation

    Sep 6, 2026Sheng-Wei ChanImage SegmentationU-Net

  21. UI-VISA: U-Net Initialized Vascular Image Segmentation Architecture

    Sep 1, 2026Asees Kaur, Suzanne S. Sindi, Erica M. RutterU-NetTopology-Preserving Image Segmentation

  22. Scale-based Approach for Active Wildfire Segmentation on Satellite Imagery

    Sep 1, 2026Matheus F. Kovaleski, Cristiano Premebida, João Ruivo PauloImage SegmentationRemote Sensing Image Segmentation

  23. Deep Learning Segmentation of Diffusion-Weighted MRI Acute Ischaemic Stroke: A Pragmatic Evaluation Across Three Datasets

    Aug 26, 2026Atle Bjørnerud, Till Schellhorn, Thor H. Skattør +4Medical Image SegmentationU-Net

  24. Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset

    Aug 21, 2026Julia Dietlmeier, Benjamin Greenberg, Wenxuan He +10Medical Image SegmentationU-Net

  25. OptiModNet: A UNet-Transformer Hybrid with Grouped-Query and Channel Attention for Optic Disc and Cup Segmentation

    Aug 19, 2026Soumili Ghosh, Debapriya Roy, Aryan Das +1Optic Disc SegmentationOphthalmic Image Analysis

  26. EA-LiteUNet: An Edge-Adaptive and Resource-Efficient U-Net for Boundary-Sensitive Dermoscopic Image Segmentation

    Aug 16, 2026Wang Jiangtao, Nur Intan Raihana Ruhaiyem, Fu Panpan +2Image SegmentationSkin Lesion Segmentation

  27. M-Net: Integrating Spectral Features and Physical Field Operators into Deep Learning for Medical Image Segmentation

    Aug 12, 2026Jing Zhu, Ye Wang, Fumin WangU-NetInductive Bias