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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LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression
Mar 18, 2026Tamer ShanablehVideo Representation Learning Neural Video Compression
American University of Sharjah, UAE, Department of Computer Science and Engineering
Accurate Shift Invariant Convolutional Neural Networks Using Gaussian-Hermite Moments
Mar 17, 2026Jaspreet Singh, Petra Bosilj, Grzegorz CielniakConvolutional Neural Networks Equivariant Neural Networks
DexGrasp-Zero: A Morphology-Aligned Policy for Zero-Shot Cross-Embodiment Dexterous Grasping
Mar 17, 2026Yuliang Wu, Yanhan Lin, WengKit Lao +4Robotic Grasping Zero-Shot Robotic Manipulation
School of Computer Science and Engineering, Sun Yat-sen University, China
PKINet-v2: Towards Powerful and Efficient Poly-Kernel Remote Sensing Object Detection
Mar 17, 2026Xinhao Cai, Liulei Li, Gensheng Pei +3Remote Sensing Efficient Object Detection
Nanjing University of Science and Technology · State Key Lab. of Intelligent Manufacturing of Advanced Construction Machinery · Zhejiang University +1
True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity
Mar 14, 2026Shivnath Tathe4-Bit Quantization Neural Network Quantization
Independent Researcher, Pune, India
Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images
Mar 12, 2026Michael Okonoda, Eder Martinez, Abhilekha Dalal +1Convolutional Neural Networks Algorithmic Bias
Department of Computer Science, Kansas State University, Manhattan, KS 66506, USA
Beyond Convolution: A Taxonomy of Structured Operators for Learning-Based Image Processing
Mar 12, 2026Simone CammarasanaConvolutional Neural Networks Dynamic Convolution
CNR-IMATI, Via De Marini 6, Genova, Italy
Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI
Mar 12, 2026Md. Hasin Sarwar Ifty, Nisharga Nirjan, Labib Islam +4Histopathology Image Classification Computational Pathology
Dept. of Computer Science and Engr. BRAC University Dhaka, Bangladesh
Beyond Accuracy: Reliability and Uncertainty Estimation in Convolutional Neural Networks
Mar 11, 2026Sanne Ruijs, Alina Kosiakova, Farrukh JavedUncertainty Quantification Uncertainty Calibration
Department of Economics, Lund University, Sweden · Department of Statistics, Lund University, Sweden
Bioinspired CNNs for border completion in occluded images
Mar 11, 2026Catarina P. Coutinho, Aneeqa Merhab, Janko Petkovic +2Convolutional Neural Networks
Department of Pharmacy and Biotechnology, University of Bologna, Via San Donato 15, 40127 Bologna, Italy · Department of Mathematics, University of Ferrara, Via Ariosto 35, 44122 Ferrara, Italy · Numerical Analysis and Applied Mathematics, VIB - KU Leuven, ON5/B Herestraat 49 - Bus 4039, 3000 Leuven, Belgium
Hardware Efficient Approximate Convolution with Tunable Error Tolerance for CNNs
Mar 10, 2026Vishal Shashidhar, Anupam Kumari, Roy P PailyEfficient Neural Network Inference Convolutional Neural Networks
Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati
Distributed Convolutional Neural Networks for Object Recognition
Mar 10, 2026Liang SunConvolutional Neural Networks One-Class Classification
Shandong University of Science and Technology, Jinan Shandong province 250031, P.R. China
An accurate flatness measure to estimate the generalization performance of CNN models
Mar 9, 2026Rahman Taleghani, Maryam Mohammadi, Francesco MarchettiNeural Network Generalization Convolutional Neural Networks
1*Department of Mathematics ”Tullio Levi-Civita”, University of Padova, Via Trieste 63, Padova, 35121, Veneto, Italy. · Department of Computer Science, Ruhr University Bochum, University street 140, Bochum, 44801, North Rhine-Westphalia, Germany. · Department of Mathematical Sciences and Computer, Kharazmi University, Mofateh Avenue, Tehran, 15719-14911, Tehran, Iran.
AgriPath: A Systematic Exploration of Architectural Trade-offs for Crop Disease Classification
Mar 8, 2026Hamza Mooraj, George Pantazopoulos, Alessandro SugliaPlant Disease Classification Vision-Language Models
School of Mathematical and Computer Sciences Heriot-Watt University · Institute for Language, Cognition and Computation, School of Informatics University of Edinburgh
ECG Classification on PTB-XL: A Data-Centric Approach with Simplified CNN-VAE
Mar 8, 2026Naqcho Ali Mehdi, Amir AliElectrocardiogram Classification Convolutional Neural Networks
NED University of Engineering and Technology, Karachi, Pakistan
Facial Expression Recognition Using Residual Masking Network
Mar 6, 2026Luan Pham, The Huynh Vu, Tuan Anh TranFacial Expression Recognition Convolutional Neural Networks
Research Department-Cinnamon AI, Viet Nam · Faculty of Computer Science & Engineering, Ho Chi Minh City-University of Technology (HCMUT), Viet Nam
Does Sparse Connectivity Improve Generalization? Convolutional Networks Below the Edge of Stability
Mar 5, 2026Tongtong Liang, Esha Singh, Rahul Parhi +2Neural Network Generalization Generalization Bounds
UC San Diego
Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper
Mar 5, 2026Kiranmayee Janardhan, Vinay Martin DSa Prabhu, T. Christy BobbyBrain Tumor Segmentation Brain Tumor Classification
Department of Electronics and Communications, Ramaiah University of Applied Sciences 4th Phase, Peenya, Bengaluru, Karnataka, India · Department of Radiology, Ramaiah Memorial Hospital and Medical College MSR Nagar, MSRIT Post, Bengaluru, Karnataka, India
Activity Recognition from Smart Insole Sensor Data Using a Circular Dilated CNN
Mar 4, 2026Yanhua ZhaoHuman Activity Recognition Convolutional Neural Networks
High-Resolution Image Reconstruction with Unsupervised Learning and Noisy Data Applied to Ion-Beam Dynamics for Particle Accelerators
Mar 4, 2026Francis Osswald, Mohammed Chahbaoui, Xinyi LiangImage Reconstruction Image Inverse Problems
IPHC · IPHC, CNRS Nuclei & Particules, Univ. of Strasbourg, 67000, Strasbourg, France · UNISTRA +3
A novel network for classification of cuneiform tablet metadata
Mar 4, 2026Frederik HagelskjærPoint Cloud Classification Point Cloud Learning
SDU Robotics · The Mærsk Mc-Kinney Møller Institute · University of Southern Denmark +1
Layer-wise QUBO-Based Training of CNN Classifiers for Quantum Annealing
Mar 3, 2026Mostafa Atallah, Rebekah HerrmanImage Classification Hybrid Quantum-Classical ML
Department of Industrial and Systems Engineering, University of Tennessee - Knoxville, Knoxville, 37996, TN, USA. · Department of Physics, Faculty of Science, Cairo University, Giza, 12613, Egypt.
MAD-SmaAt-GNet: A Multimodal Advection-Guided Neural Network for Precipitation Nowcasting
Mar 3, 2026Samuel van Wonderen, Siamak MehrkanoonPrecipitation Forecasting Precipitation Nowcasting
Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands
WTHaar-Net: a Hybrid Quantum-Classical Approach
Mar 3, 2026Vittorio Palladino, Tsai Idden, Ahmet Enis CetinHybrid Quantum-Classical ML Convolutional Neural Networks
University of Illinois Chicago (UIC), Chicago, IL, USA · Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milano, Italy
Loss Design and Architecture Selection for Long-Tailed Multi-Label Chest X-Ray Classification
Mar 2, 2026Nikhileswara Rao SulakeLong-Tailed Classification Chest X-Ray Classification
Department of Computer Science and Engineering, Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India
Revisiting Global Token Mixing in Task-Dependent MRI Restoration: Insights from Minimal Gated CNN Baselines
Mar 2, 2026Xiangjian Hou, Chao Qin, Chang Ni +3Accelerated MRI Reconstruction Convolutional Neural Networks
Dept. of Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT, USA · Dept. of Electrical & Computer Engineering, University of Utah, Salt Lake City, UT, USA · Dept. of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE +2
ResGene-T: A Tensor-Based Residual Network Approach for Genomic Prediction
Feb 28, 2026Kuldeep Pathak, Kapil Ahuja, Eric de SturlerGenomics Convolutional Neural Networks
Department of Computer Science and Engineering, Indian Institute of Technology Indore, India 453552 · Department of Mathematics, Virginia Tech, Blacksburg, USA 24061
MEBM-Phoneme: Multi-scale Enhanced BrainMagic for End-to-End MEG Phoneme Classification
Feb 27, 2026Liang Jinghua, Zhang Zifeng, Li Songyi +1Neural Decoding Convolutional Neural Networks
Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University, Beijing, China 100871 · Center for BioMed-X Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China 100871
ULW-SleepNet: An Ultra-Lightweight Network for Multimodal Sleep Stage Scoring
Feb 27, 2026Zhaowen Wang, Dongdong Zhou, Qi Xu +3Sleep Stage Classification Lightweight CNNs
School of Computer Science and Technology, Dalian University of Technology, Dalian, China · Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland · Key Laboratory of Social Computing and Cognitive Intelligence, Ministry of Education, Dalian, China +3
A Case Study on Concept Induction for Neuron-Level Interpretability in CNN
Feb 27, 2026Moumita Sen Sarma, Samatha Ereshi Akkamahadevi, Pascal HitzlerNeural Network Interpretability Concept-Based Explanations
Department of Computer Science, Kansas State University, Manhattan, Kansas, USA

Mar 18, 2026J/K move · Enter open · S save

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

Tamer Shanableh

American University of Sharjah, UAE, Department of Computer Science and Engineering

Video Representation Learning Neural Video Compression Low-Rank Approximation Convolutional Neural Networks Video Compression

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Neural Representations for Videos (NeRV) encode entire video sequences within neural network parameters, offering an alternative paradigm to conventional video codecs. However, the convolutional decoder of NeRV remains computationally expensive and memory intensive, limiting its deployment in resource-constrained environments. This paper proposes LRConv-NeRV, an efficient NeRV variant that replaces selected dense 3x3 convolutional layers with structured low-rank separable convolutions, trained end-to-end within the decoder architecture. By progressively applying low-rank factorization from the largest to earlier decoder stages, LRConv-NeRV enables controllable trade-offs between reconstruction quality and efficiency. Extensive experiments demonstrate that applying LRConv only to the final decoder stage reduces decoder complexity by 68%, from 201.9 to 64.9 GFLOPs, and model size by 9.3%, while incurring negligible quality loss and achieving approximately 9.2% bitrate reduction. Under INT8 post-training quantization, LRConv-NeRV preserves reconstruction quality close to the dense NeRV baseline, whereas more aggressive factorization of early decoder stages leads to disproportionate quality degradation. Compared to existing work under layer-aligned settings, LRConv-NeRV achieves a more favorable efficiency versus quality trade-off, offering substantial GFLOPs and parameter reductions while maintaining higher PSNR/MS-SSIM and improved temporal stability. Temporal flicker analysis using LPIPS further shows that the proposed solution preserves temporal coherence close to the NeRV baseline, results establish LRConv-NeRV as a potential architectural alternative for efficient neural video decoding under low-precision and resource-constrained settings.