Convolutional Neural Networks

Also known as CNN

Follow this topic Ask about this topic

Latest papers 397

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

All topics

PFGNet: A Fully Convolutional Frequency-Guided Peripheral Gating Network for Efficient Spatiotemporal Predictive Learning
Feb 24, 2026Xinyong Cai, Changbin Sun, Yong Wang +2Spatiotemporal Forecasting Video Prediction
College of Computer Science, Sichuan University · Department of Data and Systems Engineering, The University of Hong Kong
The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA
Feb 23, 2026Zien Ma, S. M. Shermer, Oktay Karakuş +1Sim-to-Real Transfer Convolutional Neural Networks
School of Computer Science and Informatics, Cardiff University, Cardiff, CF24 4AG, United Kingdom · Faculty of Science and Engineering, Swansea University, Swansea, SA2 8PP, United Kingdom
Fully Convolutional Spatiotemporal Learning for Microstructure Evolution Prediction
Feb 23, 2026Michael Trimboli, Mohammed Alsubaie, Sirani M. Perera +2Materials Science Spatiotemporal Forecasting
Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL, 32901, USA · Department of Mathematics, Embry-Riddle Aeronautical University, Daytona Beach, FL, 32114, USA · Department of Mechanical and Civil Engineering, Florida Institute of Technology, Melbourne, FL, 32901, USA
Characterization of Residual Morphological Substructure Using Supervised and Unsupervised Deep Learning
Feb 21, 2026Kameswara Bharadwaj Mantha, Daniel H. McIntosh, Cody Ciaschi +9Convolutional Neural Networks
Department of Physics & Astronomy, University of Missouri Kansas City, Kansas City, MO, 64110, USA. · Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA. · Department of Physics, University of California, Santa Cruz, CA 95064, USA. +1
CLAP Convolutional Lightweight Autoencoder for Plant Disease Classification
Feb 21, 2026Asish Bera, Subhajit Roy, Sudiptendu BanerjeePlant Disease Classification Convolutional Autoencoder
Department of Computer Science and Information Systems, Birla Institute of Technology and Science Pilani, Rajasthan, India
UFO: Unlocking Ultra-Efficient Quantized Private Inference with Protocol and Algorithm Co-Optimization
Feb 21, 2026Wenxuan Zeng, Chao Yang, Tianshi Xu +4Secure Multi-Party Computation Convolutional Neural Networks
Institute for Artificial Intelligence, Peking University, China · School of Software and Microelectronics, Peking University, China · School of Integrated Circuits, Peking University, China +1
NeXt2Former-CD: Efficient Remote Sensing Change Detection with Modern Vision Architectures
Feb 21, 2026Yufan Wang, Sokratis Makrogiannis, Chandra KambhamettuRemote Sensing Change Detection Hybrid CNN-Transformer Architectures
University of South Florida · Delaware State University
From Global Radiomics to Parametric Maps: A Unified Workflow Fusing Radiomics and Deep Learning for PDAC Detection
Feb 20, 2026Zengtian Deng, Yimeng He, Yu Shi +4Medical Image Analysis Radiomics
Cedars-Sinai Medical Center, Los Angeles, CA, USA · University of California, Los Angeles, Los Angeles, CA, USA
Deep Learning for Dermatology: An Innovative Framework for Approaching Precise Skin Cancer Detection
Feb 19, 2026Mohammad Tahmid Noor, B. M. Shahria Alam, Tasmiah Rahman Orpa +3Skin Lesion Classification Medical Diagnosis
Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh
Bonsai: A Framework for Convolutional Neural Network Acceleration Using Criterion-Based Pruning
Feb 19, 2026Joseph Bingham, Sam HelmichNeural Network Pruning Efficient Neural Network Inference
Rutgers University, New Brunswick NJ 08901, USA · John Deere Intelligent Solutions Group, Urbandale, IA 50322, USA
StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery
Feb 16, 2026Leo Thomas Ramos, Angel D. SappaMedical Image Classification Classification
Computer Vision Center · Universitat Aut`onoma de Barcelona · ESPOL Polytechnic University
Architectural Insights for Post-Tornado Damage Recognition
Feb 16, 2026Robinson Umeike, Thang Dao, Shane Crawford +8Disaster Damage Assessment Building Damage Assessment
Lisa · The University of Alabama · Colorado State University +3
Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework
Feb 9, 2026Johannes Thalhammer, Tina Dorosti, Sebastian Peterhansl +3Cone-Beam CT Sparse-View CT Reconstruction
Chair of Biomedical Physics, Department of Physics, School of Natural Sciences · Munich Institute of Biomedical Engineering · Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum +2
Multi-encoder ConvNeXt Network with Smooth Attentional Feature Fusion for Multispectral Semantic Segmentation
Feb 8, 2026Leo Thomas Ramos, Angel D. SappaSemantic Segmentation Remote Sensing Image Segmentation
Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain · ESPOL Polytechnic University, Guayaquil, 090112, Ecuador
Dynamic High-frequency Convolution for Infrared Small Target Detection
Feb 3, 2026Ruojing Li, Chao Xiao, Qian Yin +5Dynamic Convolution Frequency-Domain Feature Learning
The authors are with the College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.
Comparison of Image Processing Models in Quark Gluon Jet Classification
Jan 29, 2026Daeun Kim, Jaeyoon Cho, Jiwon Lee +5Vision Transformer High-Energy Physics
Department of Physics, Inha University, Incheon, Republic of Korea
Provable Learning of Random Hierarchy Models and Hierarchical Shallow-to-Deep Chaining
Jan 27, 2026Yunwei Ren, Yatin Dandi, Florent Krzakala +1Deep Learning Optimization Hierarchical Representation Learning
Princeton University · École Polytechnique Fédérale de Lausanne · University of California, Berkeley
Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
Jan 13, 2026Tammar Truzman, Matthew A. Lambon Ralph, Ajay D. HalaiMedical Image Segmentation Convolutional Neural Networks
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
Uncertainty-Aware Domain Adaptation for Vitiligo Segmentation in Clinical Photographs
Dec 12, 2025Wentao Jiang, Vamsi Varra, Caitlin Perez-Stable +3Image Segmentation Domain Adaptation
Electrical and Computer Engineering, Rice University, Houston, TX, United States · U.S. Dermatology Partners, Houston, TX, United States · School of Medicine, Baylor College of Medicine, Houston, TX, United States
NeuroSketch: A Practical Design Recipe for Neural Decoding
Dec 10, 2025Gaorui Zhang, Zhizhang Yuan, Jialan Yang +4Brain-Computer Interfaces Neural Decoding
College of Computer Science and Technology, Zhejiang University · Shanghai Institute of Microsystem and Information Technology
SparsePixels: Efficient Convolution for Sparse Data on FPGAs
Dec 5, 2025Ho Fung Tsoi, Dylan Rankin, Vladimir Loncar +1Efficient Neural Network Inference Convolutional Neural Networks
University of Pennsylvania, USA · Institute of Physics Belgrade, Serbia · 3Massachusetts Institute of Technology, USA +1
Unifying Convolution and Attention via Convolutional Nearest Neighbors
Nov 18, 2025Mingi Kang, Jeová Farias Sales Rocha NetoHybrid CNN-Transformer Architectures Self-Attention
Bowdoin College
Conditional Clifford-Steerable CNNs for PDE Modeling
Oct 15, 2025Bálint László Szarvas, Maksim ZhdanovDynamic Convolution PDE Surrogate Modeling
University of Amsterdam · 2AMLab.
Hybrid Approach for Enhancing Lesion Segmentation in Fundus Images
Sep 29, 2025Mohammadmahdi Eshragh, Emad A. Mohammed, Behrouz Far +4U-Net Medical Image Segmentation
Department of Electrical & Software Engineering, University of Calgary, Canada. · Department of Computer Science and Physics, Wilfrid Laurier University, Waterloo, Canada. · Dept of Ophthalmology & Visual Sciences, University of Alberta, Edmonton, Canada. +2
A Flow-rate-conserving CNN-based Domain Decomposition Method for Blood Flow Simulations
Sep 19, 2025Simon Klaes, Axel Klawonn, Natalie Kubicki +4PDE Solving PDE Surrogate Modeling
Department of Mathematics and Computer Science, University of Cologne, Germany · Center for Data and Simulation Science, University of Cologne, Germany · Institute for Advanced Simulation (IAS-2), Forschungszentrum Jülich, Germany +1
Tactile Gesture Recognition with Built-in Joint Sensors for Industrial Robots
Aug 17, 2025Deqing Song, Weimin Yang, Maryam Rezayati +1Human-Robot Collaboration Convolutional Neural Networks
Dep. of Informatics, University of Zurich Switzerland · Institute of Mechatronics systems, Zurich University of Applied Science, Switzerland
Grad-CAM for Visualizing Attention Regions of PCA and SVM Layers in Convolutional Neural Networks
Aug 16, 2025Yuto Omae, Hirotaka TakahashiGradient-Based Attribution Convolutional Neural Networks
Nihon University
COLORA: Efficient Fine-Tuning for Convolutional Models with a Study Case on Optical Coherence Tomography Image Classification
May 23, 2025Mariano Rivera, Angello HoyosLow-Rank Adaptation Convolutional Neural Networks
Centro de Investigación en Matemáticas, A.C. (CIMAT) Guanajuato, Guanajuato 36023, México
Towards Understanding Deep Learning Model in Image Recognition via Coverage Test
May 12, 2025Wenkai Li, Xiaoqi Li, Yingjie Mao +1Neural Network Verification Convolutional Neural Networks
Hainan University, Haikou, China
Comparative Analysis of Lightweight CNNs for Resource-Constrained Devices: Predictive Performance, Efficiency Trade-offs, and Initialization Effects
May 6, 2025Tasnim ShahriarConvolutional Neural Networks Lightweight CNNs
Independent Researcher

Feb 24, 2026J/K move · Enter open · S save

PFGNet: A Fully Convolutional Frequency-Guided Peripheral Gating Network for Efficient Spatiotemporal Predictive Learning

Xinyong Cai, Changbin Sun, Yong Wang, Hongyu Yang+1

College of Computer Science, Sichuan University · Department of Data and Systems Engineering, The University of Hong Kong

Spatiotemporal Forecasting Video Prediction Convolutional Neural Networks Dynamic Convolution Frequency-Domain Feature Learning Lightweight CNNs

Open paper AskPDF arXiv

Spatiotemporal predictive learning (STPL) aims to forecast future frames from past observations and is essential across a wide range of applications. Compared with recurrent or hybrid architectures, pure convolutional models offer superior efficiency and full parallelism, yet their fixed receptive fields limit their ability to adaptively capture spatially varying motion patterns. Inspired by biological center-surround organization and frequency-selective signal processing, we propose PFGNet, a fully convolutional framework that dynamically modulates receptive fields through pixel-wise frequency-guided gating. The core Peripheral Frequency Gating (PFG) block extracts localized spectral cues and adaptively fuses multi-scale large-kernel peripheral responses with learnable center suppression, effectively forming spatially adaptive band-pass filters. To maintain efficiency, all large kernels are decomposed into separable 1D convolutions (

1 \times k

followed by

k \times 1

), reducing per-channel computational cost from

O(k^2)

O(2k)

. PFGNet enables structure-aware spatiotemporal modeling without recurrence or attention. Experiments on Moving MNIST, TaxiBJ, Human3.6M, and KTH show that PFGNet delivers SOTA or near-SOTA forecasting performance with substantially fewer parameters and FLOPs. Our code is available at https://github.com/fhjdqaq/PFGNet.