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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Anatomy-Aware Promptable Segmentation with Online Interactive Training for AUTOPET V
Aug 28, 2026Pablo Lozano-Jimenez, Sergio Romero-Tapiador, Ruben TolosanaMedical Image Segmentation PET/CT Tumor Segmentation
University of Amsterdam, Faculty of Science, Amsterdam, The Netherlands · BiometricsAI, Universidad Autónoma de Madrid, 28049 Madrid, Spain
A Unified Framework for the Mechanics of Information in Convolutional Neural Network Image Space
Aug 26, 2026Aryan Shukla, Matthew ToewsConvolutional Neural Networks
Department of Systems Engineering, ´Ecole de technologie sup´erieure, 1100 R. Notre Dame O., Montr´eal, QC H3C 1K3, Canada
Group-Shared Low-Rank Approximation for Mobile-Efficient Pointwise Convolutions in Large-Kernel CNNs
Aug 26, 2026Hao Luo, Yiting Yang, Wenyi Zhao +10Convolutional Neural Networks Neural Network Compression
College of Computer and Information Engineering, Xi’an University of Architecture and Technology · Northwestern Polytechnical University · Nanchang University +4
OpenVeinNet: Robust Open-Set Finger Vein Verification with Dynamic Snake Convolution and Graph Learning
Aug 26, 2026Sushrut Patwardhan, Raghavendra RamachandraBiometric Identification Open-Set Recognition
SAFE Centre, Department of Information Security and Communication Technology (IIK), Norwegian University of Science and Technology (NTNU), Gjøvik, Norway.
Attention-Enhanced Dual-Branch ConvNeXt-BiLSTM Network for Subject-Independent EEG Seizure Detection
Aug 25, 2026Maimuna Chowdhury, Sk. Imran HossainEEG Seizure Detection Electroencephalography
Dept. of Computer Science and Engineering Khulna University of Engineering & Technology Khulna, Bangladesh
Synergising Local Geo-Environmental Characteristics with Spatial Context for Enhancing Landslide Susceptibility Mapping
Aug 25, 2026Yusen Cheng, Lei Fan, Qinfeng Zhu +3Convolutional Neural Networks Spatial Reasoning
Department of Civil Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, 215123, China · Department of Geography and Planning, University of Liverpool, Liverpool, L69 3BX, UK · Department of Computer Science, University of Liverpool, Liverpool, L69 3BX, UK +2
Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation
Aug 24, 2026Mohammad Mahdi Danesh Pajouh, Sara SaeediMedical Image Segmentation Brain Tumor Segmentation
University of Calgary
TherMapNet Attention-Guided Runtime Full-Chip Thermal Map Prediction from Performance Metrics
Aug 22, 2026Qin Gu, Chaofang Ma, Mingyu Yang +4Neural Surrogate Modeling Convolutional Neural Networks
College of Information Science and Engineering, Northeastern University, Shenyang, China · Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong
Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores
Aug 21, 2026Xiang Fu, Jixiang Ma, Xinpeng Zhang +3GPU Kernel Optimization GPU Acceleration
Nanchang Hangkong University, China · EEO Tech, China · University of Washington, USA +1
Multi-Scale Fruit Capsules: Dilated Convolutions and Dynamic Routing for In-the-Wild Explainable Fruit Recognition
Aug 20, 2026Subhankar Chattoraj, Sawon Pratiher, Samiran Das +1Fine-Grained Image Classification Explainable Image Classification
Dept. of Information Systems, University of Maryland Baltimore County, Baltimore, MD 21250, USA · Dept. of Electrical Engineering, Indian Institute of Technology Kharagpur, West Bengal 721302, India · Dept of Data Science and Engineering, Indian Institute of Science Education and Research Bhopal 462066, India +1
Core-KAN: Continuous Vision Kernels with Kolmogorov-Arnold Networks
Aug 20, 2026Lan Guo, Mengling Li, Haoran Li +4Convolutional Neural Networks Dynamic Convolution
School of Information Science and Engineering, Lanzhou University · Department of Data Science and AI, Monash University · School of Computing and Information Technology, University of Wollongong
HiRA-CAM: Preserving Fine-Grained Spatial Relevance in Gradient-Based Visual Explanations
Aug 19, 2026Manasi Nerurkar, Ali A. MinaiExplainable Image Classification Gradient-Based Attribution
Dept. of Electrical and Computer Engineering University of Cincinnati Cincinnati, USA
Beyond receptive fields: sequence-pooled normalization can supply most of a sequence labeler's context
Aug 19, 2026Qing TianConvolutional Neural Networks Layer Normalization
Department of Computer Science, University of Alabama at Birmingham, Birmingham, AL 35294, USA
Is Haar Enough? Exploring Symlets and Coiflets for Wavelet Convolution Layers
Aug 18, 2026Md Rifat Ur RahmanWavelet Methods Convolutional Neural Networks
Bangladesh Univeristy of Engineering and Technology
Turning spectra into images improves plant trait retrieval with 2D-CNNs
Aug 17, 2026Javier Lopatin, Teja Kattenborn, Eya Cherif +1Plant Phenotyping Convolutional Neural Networks
Data Observatory Foundation, ANID Technology Center No. DO210001, Santiago, Chile, 7510277 · Center for Climate Resilience Research (CR)2, University of Chile, Santiago, Chile, 8370449 · Sensor-based Geoinformatics (geosense), University of Freiburg, Freiburg, Breisgau, Germany +2
SPEANet: Structural Prior Enhanced Attention Network for Parameter-Efficient Remote Sensing Object Detection
Aug 15, 2026Wei Lu, Junjie Li, Feifei Sang +1Efficient Object Detection Aerial Object Detection
MOE Key Lab of ICSP, IMIS Lab of Anhui, Anhui Provincial Key Lab of Multimodal Cognitive Computation, Zenmorn-AHU · AI Joint Lab, School of Computer Science and Technology, Anhui University, Hefei 230601, China
Do CNNs Internally Represent Real and Fake Images Differently? A Hidden-Layer Analysis
Aug 12, 2026Moumita Sen Sarma, Pascal Hitzler, Eugene Y. VassermanConvolutional Neural Networks Image Forgery Detection
Department of Computer Science, Kansas State University, Manhattan, Kansas, USA
Two-Stage Deformable-Convolutional Inverse Design of Nanophotonic Absorbers from Optical Spectra
Aug 12, 2026Waleed Waseer, Muhammad Shahid Jabbar, Muhammad Sohail Ibrahim +1Convolutional Neural Networks Deformable Convolution
School of Physics and State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, 610054, China · SDAIA-KFUPM Joint Research Center for Artificial Intelligence, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia · Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS), King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia +1
A comparison of CNN architectures for Alzheimer's disease detection in single-view MRI scans
Aug 12, 2026Hiram Zuniga, Ulises Orozco-Rosas, Kenia PicosAlzheimer's Disease Classification Convolutional Neural Networks
CETYS Universidad, Ave. CETYS Universidad No. 4, Fracc. El Lago, C.P. 22210, Tijuana, Baja California, Mexico
Fast and Memory-Efficient Wavelet Convolutions via I/O-Aware Reformulation
Aug 11, 2026Amit Aflalo, Shahaf E. Finder, Roy Amoyal +2GPU Kernel Optimization Wavelet Methods
The Stein Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Israel
Hardware-in-the-Loop Phase-Aware CNN for Real-Time 5G Channel Estimation
Aug 11, 2026Javad Zolfaghari-Bengar, Rakibul Rony, Elisa Gomez-de-Lope +3Wireless Communications Channel Estimation
Keysight AI Labs
Personalized and Explainable Blood Pressure Estimation from PPG via Hybrid CNN--Morphological Features
Aug 11, 2026Myung-Kyu Yi, Jongshill Lee, Jeyeon Lee +1Cuffless Blood Pressure Estimation Photoplethysmography
Department of Biomedical Engineering, Hanyang University,, Seoul 04763, South Korea
CARB: A Characterization-Guided Framework for CNN Inference Cost Prediction and Deployment Screening
Aug 11, 2026Linh Nguyen, Zhixin PanCost-Aware Inference Convolutional Neural Networks
Florida State University
A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods
Aug 10, 2026Leandro de Souza Rosa, Lorenzo Capelli, Clara Nunes Barrancos +2Convolutional Neural Networks Dimensionality Reduction
Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi” (DEI) - Alma Mater Studiorum Università di Bologna, Bologna, Italy · Advanced Research Center on Electronic Systems “Ercole De Castro” (ARCES) - Alma Mater Studiorum Università di Bologna, Bologna, Italy
A Time-Frequency Dual-Domain Multi-Scale Convolutional Neural Network for Bearing Fault Diagnosis under Strong Noise
Aug 10, 2026Yanxi Ding, Tingyue JiaMulti-Scale Feature Fusion Convolutional Neural Networks
School of Engineering China University of Petroleum-Beijing at Karamay Campus Karamay, China
Deep Learning-Based Statistical Downscaling of Sea Surface Temperature Using a Residual Corrective Neural Network
Aug 9, 2026Onkar Jadhav, Tim French, Ivica Janekovic +2Climate Science Residual Learning
School of Earth and Oceans, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia. · School of Physics, Maths and Computing, Computer Science and Software Engineering, University of Western Australia, Crawley, WA, Australia. · School of Engineering, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia.
PhysAttNet: Enhancing Predictive Performance in Industrial and Astrophysical Time Series via Physics-Informed Attention
Aug 7, 2026Amal Saadallah, Julia Tjus, Petra Wiederkeher +1Time Series Forecasting Physics-Informed ML
Faculty of Physics and Astronomy, Ruhr University Bochum, Germany · Virtual Machining Group, TU Dortmund, Germnay · Faculty of Physics, Germany
Aftab: A Progressive Design Study of Visual Encoders and Value Estimation for Replay-Free Parallelized Q-Learning
Aug 7, 2026Taha Shieenavaz, Shabnam Zareshahraki, Loris NanniDeep Q-Learning Q-Learning
Department of Information Engineering, University of Padua, Italy
Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model
Aug 6, 2026Saad Ahmed, Md Khalid SyfullahConvolutional Neural Networks Sign Language Recognition
Department of Computer Science and Engineering, Bangladesh Army University of Science and Technology, Saidpur Cantonment, Saidpur, Bangladesh
The Neural Echo: A Signal Processing Perspective for Understanding Neural Networks
Aug 5, 2026Chongbiao Wang, Daniel Gaa, Joachim Weickert +1Neural Network Interpretability Convolutional Neural Networks
Mathematical Image Analysis Group Faculty of Mathematics and Computer Science, Saarland University Campus E1.7, 66041 Saarbrücken, Germany · Zuse School ELIZA Hochschulstr. 10, 64289 Darmstadt, Germany

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Anatomy-Aware Promptable Segmentation with Online Interactive Training for AUTOPET V

Pablo Lozano-Jimenez, Sergio Romero-Tapiador, Ruben Tolosana

University of Amsterdam, Faculty of Science, Amsterdam, The Netherlands · BiometricsAI, Universidad Autónoma de Madrid, 28049 Madrid, Spain

Medical Image Segmentation PET/CT Tumor Segmentation Interactive Medical Image Segmentation Promptable Image Segmentation Convolutional Neural Networks

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We present an anatomy-aware, promptable model for whole-body lesion segmentation in FDG and PSMA PET/CT, developed for the AUTOPET V challenge. The proposed method is built as family of nnU-Net-based models and trained in two stages: i) a pre-training stage that produces a strong initial segmentation, and ii) an online interactive stage that learns to exploit scribble prompts, refining the prediction over successive interactions. Anatomical context is incorporated through organ supervision using a single shared head that predicts lesions and organs from the same features, which reduces false positives arising from physiological uptake. Also as the tracer (i.e., FDG/PSMA) is not provided at inference, we add a tracer classifier based on image processing and a random forest over coronal MIP features, routing each study to a combined FDG+PSMA model or to a PSMA-specific model. Across four-fold cross-validation the organ-supervised model achieves the best and most stable performance, the interactive stage improves the Dice score monotonically with each prompt, and PSMA-specific training yields the strongest tracer-wise results.