Convolutional Neural Networks

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  1. Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures

    Jun 27, 2026Abderrahmane BenfatahCross-Dataset BenchmarkConvolutional Neural Networks

  2. In-Vehicle Digital Twin-Based Collision Warning Framework with Sybil Attack Detection

    Jun 26, 2026Mohammad Imtiaz Hasan, Abyad Enan, Jean Michel Tine +3Attack DetectionRobust Vehicle Recognition

  3. Higher-Order Fourier Neural Operator: Explicit Mode Mixer for Nonlinear PDEs

    Jun 26, 2026Alex Colagrande, Paul Caillon, Eva Feillet +1Fourier Neural OperatorsFourier

  4. Class-frequency Guided Noise Schedule for Diffusion Models

    Jun 26, 2026Jiequan Cui, Beier Zhu, Qingshan Xu +3Low-Frequency CuesDiffusion Processes

  5. AI-Generated Image Recognition via Fusion of CNNs and Vision Transformers

    Jun 26, 2026Xuan-Bach Mai, Hoang-Minh Nguyen-Huu, Quoc-Nghia Nguyen +3Synthetic Image DetectionAuthenticity

  6. Inverse Design of Compact and Wideband Inverted Doherty Power Amplifiers Using Deep Learning

    Jun 25, 2026Han Zhou, Haojie Chang, David Widen +1Generative Inverse DesignUltra-Wideband

  7. Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection

    Jun 25, 2026Ke Chen, Ling Zhou, Guangqi Jiang +3Convolutional Neural Networks

  8. LogicIR: Logic Gate Networks for Image Restoration

    Jun 25, 2026Hongjae Lee, Myungjun Son, Jaeseong Yu +1Image RestorationDifferentiable Logic Gate Networks

  9. Automated brain tumor detection in MRI images using CNN and ResNet architectures

    Jun 25, 2026Annapurna V K, Asha N, K Paramesha +2Brain Tumor ClassificationBrain Tumor Segmentation

  10. Taxonomy-aware deep learning for hierarchical marine species classification in underwater imagery

    Jun 24, 2026Dan Zimmerman, Dimitris A. Pados, George SklivanitisIn-Situ Plankton ClassifiersUnderwater Imagery

  11. One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications

    Jun 24, 2026Szu-Wei Fu, Rong Chao, Xuesong Yang +4Speech EnhancementLow-Latency Systems

  12. Predicting Fruit Quality with a Hybrid Machine Learning and Image Processing Approach

    Jun 24, 2026Amir Reza Hashemi, Shahram AmiriFruitImage Processing

  13. Blasto-Net: An Explainable Multi-Task Learning for Blastocyst Segmentation, Grading, and Implantation Prediction

    Jun 24, 2026Zahra Asghari Varzaneh, Reza Khoshkangini, Magnus Johnsson +2Efficientnet EncoderMulti--Task Learning

  14. Pre-Warm: Initializing Convolutional Filters from First-Batch Patch Dictionaries

    Jun 24, 2026Rowan MartnishnConvolutional Neural NetworksConvolutional

  15. Homomorphic Encryptions for Privacy Preserving Vision

    Jun 23, 2026Preey Shah, Rohan Virani, Sanjari SrivastavaHomomorphic EncryptionGraph Neural Network Inference

  16. Few-class Fidelity: Evaluating Explanations of Real-conditions CNN classifiers with Optimized Perturbations

    Jun 23, 2026Wistan Marchadour, Pedro Soto Vega, Franck Vermet +1XaiExplainable Artificial Intelligence

  17. Transformation Behavior of Images in Latent Space

    Jun 23, 2026Christian Zöllner, Mozzam Motiwala, Aysel Ahadova +4Computational PathologyImagenet

  18. A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic

    Jun 23, 2026Jing Yang, Shuqing Zhang, Yongyi Deng +5Mispronunciation DetectionArabic

  19. Information-Theoretic Classifier-Free Guidance with Adaptive Schedule Optimization

    Jun 23, 2026Haobo Chen, Xiangxiang Xu, Yuheng BuImagenet

  20. Scaling Linear Mode Connectivity and Merging to Billion Parameter Pretrained Transformers

    Jun 22, 2026Tianyi Li, Zhiqiang ShenGenerative Pretrained TransformersTransformer Architectures

  21. Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions

    Jun 22, 2026Sehwan Kim, Yan Sun, Faming LiangModern Deep NetworksNeural Network

  22. Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift

    Jun 22, 2026Keisuke Sugawara, Kento Uchida, Shinichi ShirakawaNeural Architecture SearchDistribution Shifts

  23. Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks

    Jun 22, 2026Minh-Loi Nguyen, Long-Bao Nguyen, Van-Hieu Huynh +2Graph Neural Network InferenceMixed-Precision Quantization

  24. Performance and Interpretability of Convolutional, Transformer, and Hybrid Deep Learning Models in Colorectal Histology Classification

    Jun 21, 2026Reza BozorgpourHybrid TransformerComputational Pathology

  25. Learning Entropy Signature for Image Representation and Classification

    Jun 21, 2026Jan Glaser, Ivo Bukovsky, Noriyasu Homma +1Image ClassificationSpatial Representation

  26. The Scissors Effect: When Resize-Based Input Diversity Helps or Hurts Transfer Attacks

    Jun 21, 2026Yuhang Jiang, Xiaojing ChenAdversarial TransferabilityAdversarial Examples

  27. Multi-cancer detection using a computationally efficient CNN with transfer learning

    Jun 21, 2026Vasileios E. Papageorgiou, Georgios Petmezas, Dimitrios-Panagiotis Papageorgiou +2Brain Tumor ClassificationConvolutional Neural Networks

  28. From Convolution to Transformer: A Comparative Study of U-Net Variants for Brain Tumor and Retinal Vessel Segmentation

    Jun 20, 2026Khoa Pham, Sindhuja Penchala, Jiacheng Li +2U-NetRetinal Vessel Segmentation

  29. RocketPFN: Accurate Time Series Classification via In-Context Learning

    Jun 19, 2026Franco Martino O'Rourke, Ana Trisovic, Dimitris BertsimasTime-Series ClassificationTime Series

  30. Dual-Attention Convolution Experts for Sparse Tensor Completion

    Jun 19, 2026Yanlei Liu, Zhenyu LiaoTensor CompletionConvolutional

  31. Real-time pedestrian attribute recognition with YOLOv8 and ResNet18

    Jun 19, 2026Houssam El MirPedestrian DetectionYolo26

  32. SARIF: Segment Anything for Robust Image Forensics

    Jun 19, 2026Dong-Hyun Moon, Ju-Hyeon Nam, Sang-Chul LeeFace Forgery DetectionMultimedia Forensics

  33. Interpretable Sperm Morphology Classification via Attention-Guided Deep Learning

    Jun 18, 2026Zahra Asghari Varzaneh, Reza Khoshkangini, Thomas Ebner +1ReproductionAttention-Guided Transunet

  34. Hybrid ANN-SNN Pipeline with Local Plasticity

    Jun 18, 2026Denis Larionov, Khairutin Shtanchaev, Mikhail Kiselev +2Spiking Neural NetworksBinary Spikes

  35. eCNNTO: A Highly Generalizable ConvNet for Accelerating Topology Optimization

    Jun 18, 2026Shengbiao Lu, Xiaodong WeiTopology OptimizationFinite Element Method

  36. Learning When to Denoise: Optimizing Asynchronous Schedules for Latent Diffusion

    Jun 18, 2026Bingshuo Qian, Xiang ChengImagenetAsynchronous Execution

  37. Exploring Feature Extraction Technique Parameters for Acoustic Gunshot Classification

    Jun 17, 2026Sinclair Gurny, Ryan QuinnFeature ExtractionResnet-18

  38. ITNet: A Learnable Integral Transform That Subsumes Convolution, Attention, and Recurrence

    Jun 17, 2026Ashim Dhor, Rasel Mondal, Pin-Yu ChenConvolutional Neural NetworksConvolutional

  39. LEAP: Layer-skipping Efficiency via Adaptive Progression for Vision Transformer Distillation

    Jun 17, 2026Jiaqi Zhang, Ashton Lee, Anthony Wong +3Vision TransformerImagenet

  40. SpectralDiT: Timestep-Conditioned Spectral Residual Correction for Flow-Matching DiTs

    Jun 17, 2026Jiayu TianImagenet

  41. Low-Cost Neuromorphic Fall Detection Using Synthetic Event Data and Hybrid SNNs

    Jun 17, 2026Guillermo Rojas, Gonzalo Soto, Daniel YungeSpiking Neural NetworksRobust Fall Detection

  42. BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection

    Jun 17, 2026Md Taimur Ahad, Bo Song, Yan LiBrain Tumor ClassificationMagnetic Resonance Imaging

  43. Spiking Pyramid Wavelet Transformation for High-efficient and Low-energy Image Restoration

    Jun 17, 2026Chen Zhao, Xiantao Hu, Song Wu +5Spiking Neural NetworksDiscrete Wavelet Transform

  44. Experimental Analysis of Neural Network-Based Image Classification on the CIFAR-10 Dataset

    Jun 17, 2026Necati Kagan Erkek, Emre Balci, Berkin HalayConvolutional Neural NetworksImage Classification

  45. Architectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks

    Jun 16, 2026Ngela Landon Ntung, Floride Tuyisenge, Jema David NdibwileFace EmbeddingsVision Transformer

  46. Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?

    Jun 16, 2026Trisha Mittal, Akshay Mehra, Joshua KimballGeometry-Aware Uncertainty CoresetsImagenet

  47. Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion

    Jun 16, 2026Xuling Zhang, Peng Wang, Daiyan Li +3Graph Neural NetworksMessage Passing Neural Networks

  48. SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches

    Jun 16, 2026Wencan Zhang, Mario Michelessa, Xuejun Zhao +1Explainable Artificial IntelligenceXai

  49. ResAware: Cross-Environment Website Fingerprinting via Resource-Privileged Distillation

    Jun 16, 2026Chongru Fan, Wei Wang, Wentao Huang +5Attack DetectionFingerprint

  50. Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation

    Jun 16, 2026Marina Chagas Bulach Gapski, Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio +3Feature ExtractionGraph Neural Networks

  51. Quantum Enchanced Multi-Scale CNN with Bi-directional Mamba for Crop Field Analysis

    Jun 15, 2026Mohammad Salman Khan, Ehsan Atoofian, Saad B. AhmedHyperspectral Image ClassificationHyperspectral Imaging

  52. The Importance of Phase in Neural Representations: An Internal Oppenheim-Lim Test of Image Classifiers

    Jun 15, 2026Alper YıldırımImage ClassificationImplicit Neural Representations

  53. Upper Bounds on the Generalization Error of Deep Learning Models via Local Robustness and Stability

    Jun 15, 2026Abdul-Rauf Nuhu, Parham M. Kebria, Vahid Hemmati +3Generalization BoundsUpper Bounds

  54. FEnc2^2: Unifying Data Packing for Efficient Private Inference via Convolution and Architecture-Aware Fragment Encoding

    Jun 15, 2026Ran Ran, Zhaoting Gong, Nuo Xu +3Homomorphic EncryptionConvolutional

  55. Explainable Flood Segmentation on Sentinel-1 SAR1 Imagery Using CNN and Transformer Architectures

    Jun 15, 2026Arundhuti Banerjee, David DaouFlood DetectionSen1Floods11

  56. 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 +1Neural Architecture SearchCortex

  57. To forget is to preserve: Machine Unlearning for 3D medical image segmentation

    Jun 15, 2026Nitesh Kumar Singh, Akhilesh Singh, Arjun AroraMachine UnlearningSeveral Approximate Unlearning Strategies

  58. Leveraging Deep Learning for Object and Position Recognition of Load Carriers for Autonomous Logistics Vehicles

    Jun 14, 2026Christoph Legat, Tobias Miller, Marco RiessCategory-Level Object Pose EstimationRobotic Perception

  59. InstantForget: Update-Free Backdoor Unlearning with Inference-Time Feature Reset

    Jun 14, 2026Zhenyu YuBackdoor AttacksTraining-Free Inference Framework

  60. Open Annotations and Synthetic Data for Field Localisation in Indian Bank Cheques

    Jun 14, 2026Jaganadh GopinadhanPixel-Level AnnotationAnnotations