Convolutional Neural Networks

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Period ending 2026-09-21

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  1. A Coreset Selection Framework with Ensemble Aggregation for Image Classification

    Jul 10, 2026Pedro Rocha Dantas, Lucas Pascotti ValemGeometry-Aware Uncertainty CoresetsImage Classification

  2. HAT Super-Resolution and a PARSeq+CLIP4STR Voting Ensemble for Extreme In-the-Wild License Plate Recognition

    Jul 9, 2026Karthik Sivarama Krishnan, Koushik Sivarama KrishnanLicense Plate Character DetectionScene Text Recognition

  3. Texture Representations in Deep Vision Models: Comparing CNNs, Vision Transformers, and Human Perception

    Jul 9, 2026Ludovica de Paolis, Marco Baroni, Alessandro Laio +1Vision Foundation ModelsConvolutional Neural Networks

  4. A Theory of Contrastive Learning with Natural Images

    Jul 8, 2026Antonio Torralba, Yair WeissContrastive LossContrastive Learning

  5. Image classification via a quantum-inspired strategy involving a mixture of experts

    Jul 8, 2026Kumari Jyoti, Rohith Babu, Apoorva D. PatelHybrid Quantum Neural NetworksImage Classification

  6. Unraveling Machine Behavior by Multi-Level Bias Analysis and Detection: Methodology and Application to Computer Vision

    Jul 8, 2026Ignacio Serna, Aythami Morales, Julian FierrezImplicit BiasComputer Vision

  7. EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI

    Jul 8, 2026Hao Kong, Di Liu, Shuo Huai +5Graph Neural Network InferenceHeterogeneous Edge Devices

  8. Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware

    Jul 8, 2026Hao Kong, Di Liu, Shuo Huai +5Learned Image CompressionConvolutional Neural Networks

  9. ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for large-Scale Image Datasets

    Jul 8, 2026Abhay Kumar Pathak, Mrityunjay Chaubey, Manjari GuptaExplainabilityImage Classification

  10. Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

    Jul 7, 2026Shervin Khalafi, Igor Krawczuk, Sergio Rozada +3Heterogeneous Graph TransformersImage Denoising

  11. Visual graphs for image classification: does the structure affect performance?

    Jul 7, 2026Alessandra IbbaComplex NetworksImage Classification

  12. MSA-DCNN: A Data-Efficient Multi-Scale Deformable CNN for Medical Image Classification

    Jul 7, 2026Hamza Hussaini, Shahana Bano, Eyad Elyan +1Medical Image ClassificationPopular Deformable Convolutions

  13. Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift

    Jul 7, 2026Robin Holzinger, Riccardo CollettiNeural ArchitecturesConvolutional Neural Networks

  14. Few-Medoids: An Embarrassingly Simple Coreset Selection Method for Few-Shot Knowledge Distillation

    Jul 7, 2026Cemil-Andrei Dilmac, Florinel-Alin Croitoru, Radu Tudor IonescuGeometry-Aware Uncertainty CoresetsKnowledge Distillation

  15. Complementary Roles of Image Classification and Vessel Segmentation in AI-Based Screening for Retinopathy of Prematurity Plus Disease in a Kenyan Preterm Cohort

    Jul 7, 2026Fred Mutisya, Oscar Onyango, Sarah Sitati +8OphthalmologyScreening

  16. LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation

    Jul 6, 2026Kabir Dev Paul Baghel, Radu Timofte, Dmitry IgnatovLarge Language Model AdaptationGenerative Adversarial Network

  17. ResonatorLM: Causal Resonant Field Mixing for Efficient Long-Context Language Modeling

    Jul 6, 2026Archie ChaudhuryEfficient Long-Context InferenceTransformer Architectures

  18. Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

    Jul 6, 2026Tim Lenz, Maurice Heide, Marco Gustav +2Pathology Foundation ModelsWhole-Slide Images

  19. Statistical Adversaries: Natural Backdoor-like Features in Vision Datasets

    Jul 6, 2026Paul K. Mandal, Pavan Reddy, Tristan MalatynskiAdversarial ExamplesVision Datasets

  20. Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection

    Jul 6, 2026Akshay Gokhale, Mansi DhamneCoronary AngiographyConvolutional Neural Networks

  21. Video-Text Temporal Localization via Multi-Scale Convolution and Dynamic Routing

    Jul 6, 2026Gengtian Shi, Jinze Yu, Chenhao Wu +5Temporal Action LocalizationCross-Modal Alignment

  22. Virtual Category-Guided Continual Generalized Category Discovery

    Jul 6, 2026Jiahui Xiong, Qiuxia Lai, Hongsong WangGeneralized Category DiscoveryImage Classification

  23. Hybrid Deep Learning for Traceability and Classification of Industrial Slate Tiles

    Jul 6, 2026Soren Antebi, Stefan Eickeler, Sandra Halscheidt +4Image ClassificationRe-Identification

  24. Learning Probabilistic Prompt for Continual Learning

    Jul 6, 2026Hyekang Park, Sanghoon Lee, Geon Lee +2Efficient Continual LearningContinual Learning Methods

  25. Benchmarking Sensor Robustness in Plasma Diagnostic Models: A Systematic Evaluation on TokaMark

    Jul 5, 2026Neerav GuptaPlasma Shape ControlDiagnostic Benchmark

  26. On Preserving Geometrical Invariance for Superpixel Image Classification using Graph Transformer

    Jul 5, 2026Sarabeshwar Balaji, Shubham Mohanty, Akash AnilImage ClassificationVision Transformer

  27. Binary Iterative Method for Non-targeted Adversarial Attack

    Jul 5, 2026Naman Goyal, Milan ChaudhariAdversarial ExamplesAdversarial Transferability

  28. ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification

    Jul 4, 2026Allyson Taylor, Prashanth BusiReddyGariMalware DetectionImage Classification

  29. MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model

    Jul 3, 2026Wanshu Fan, Xiangyu Li, Cong Wang +4Low-Light Image EnhancementEnhancement

  30. Pooling-Based Context Modeling for Convolution-Free Deep Image Prior

    Jul 3, 2026Gihyun Kim, Jong-Seok LeeImage DenoisingConvolutional Neural Networks

  31. Show Me Examples: Inferring Visual Concepts from Image Sets

    Jul 2, 2026Nick Stracke, Kolja Bauer, Stefan Andreas Baumann +3Visual ContextVisual Reasoning

  32. Representation Distribution Matching for One-Step Visual Generation

    Jul 2, 2026Lan Feng, Wuyang Li, Eloi Zablocki +2Large-Scale Image GenerationVisual Generation

  33. WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field Convolution

    Jul 2, 2026Wan Song, Wei Zhou, Rui Wang +4Matrix MultiplicationSparse Deep Neural Network Accelerators

  34. Do Newer Lightweight CNNs Perform Better Under Resource Constraints? A Controlled Multigenerational Study of Architecture, Initialization, Training Budget, and Efficiency

    Jul 2, 2026Tasnim ShahriarMobilenetv2Imagenet

  35. Diversity-aware View Partitioning for Scalable VGGT

    Jul 2, 2026Jinsoo Park, Donggyu Choi, Ahyun Seo +2Self-Supervised Vision TransformersPartitioning

  36. Neural Audio Codec with Adjustable Token Temporal Resolution Using Sampling-Frequency-Independent Convolutional Layers

    Jul 2, 2026Tomohiko Nakamura, Wataru Nakata, Kanami Imamura +1Neural Audio CodecsAudio

  37. Beyond Heatmaps: Unsupervised Concept-Graph Reasoning for Interpretable Visual Explanation

    Jul 1, 2026Md Mohasin Hossain, Anar Amirli, Robert Leist +2HeatmapImagenet

  38. Fusion: A Framework for Unified Sequential Token AdaptatIon in VisiOn TraNsformers

    Jul 1, 2026Aravind Pradeep, Samira Nazari, Mahdi Taheri +1Self-Supervised Vision TransformersVision Transformer

  39. CNN Models for Microphone Array Covariance Matrix Upsampling and Acoustic Imaging

    Jul 1, 2026Marianthi Adamopoulou, Parthasaarathy Sudarsanam, David Diaz-Guerra +5Direction-Of-Arrival EstimationUpsampling

  40. Condensing Large-Scale Datasets Directly with Minimal Information Loss

    Jul 1, 2026Xinyi Shang, Peng Sun, Bei Shi +2ImagenetCandidate Label Distributions

  41. Rethinking Multi-Label Image Classification With Deep Learning: Taxonomy, Challenge, and Outlook

    Jul 1, 2026Xuelin Zhu, Xiu-Shen Wei, Jiawei Ge +2Multi-Label ClassificationImage Classification

  42. Evaluating Pretrained Music Embeddings for Cross-Performance Jazz Standard Recognition

    Jul 1, 2026Çağrı EserMusic UnderstandingAudio Latent

  43. CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification

    Jul 1, 2026Si-Yuan Lu, Hanruo Zhu, Ziquan Zhu +6Medical Image ClassificationMedical Imaging Datasets

  44. MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts

    Jul 1, 2026Nuoyan Zhou, Zhijun Tu, Lei Yu +4Visual Autoregressive ModelsAutoregressive Generation

  45. Computer vision-based neural networks for radioisotope identification in urban environments

    Jun 30, 2026Masen Bachleda, Peter LalorRadio FrequencyConvolutional Neural Networks

  46. Decompose, Compare, and Decide: Multimodal LLMs are Implicit Few-Shot Learners

    Jun 30, 2026Yunhan Wang, Eshika Khandelwal, Edson Araujo +3Few-Shot LearningImage Classification

  47. Automated Background Swapping for Robustness against Spurious Backgrounds

    Jun 30, 2026Cesar Roder, Kajetan SchweighoferSynthetic Data AugmentationImage Classification

  48. InstanceControl: Controllable Complex Image Generation without Instance Labeling

    Jun 30, 2026Xiaoyu Liu, Huan Wang, Fan Li +4Large-Scale Image GenerationImage Generation

  49. Localized Conformal Prediction for Image Classification with Vision-Language Models

    Jun 30, 2026Clément Fuchs, Tim Bary, Benoît MacqConformal PredictionImage Classification

  50. Surprise as a Signal for Plasticity and Metacognition

    Jun 30, 2026Louis MouchonEpisodic ExperiencesPlasticity

  51. CLIMB: Centroid-Based Hierarchical Memory for Online Continual Self-Supervised Learning

    Jun 30, 2026Julien Lefebvre, Stefan Duffner, Mathieu LefortEfficient Continual LearningSelf-Supervised

  52. FROST: Training-Free Few-Shot Segmentation with Frozen Features and Nonparametric Statistics

    Jun 30, 2026Junghwan ParkFew-Shot SegmentationRemote Sensing

  53. MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration

    Jun 30, 2026Gabriel ClingerCross-Modal LearningConvolutional

  54. Separation Capacity of Scattering Networks

    Jun 29, 2026Konstantin Häberle, Helmut BölcskeiConvolutional Neural NetworksSeparation

  55. HASTE: A Framework for Training-Free, Dynamic, and Steerable Compression of Pre-Trained Convolutional Neural Networks

    Jun 29, 2026Lukas Meiner, Jens Mehnert, Alexandru Paul ConduracheContext CompressionConvolutional Neural Networks

  56. HiRes: A Hierarchical Cascaded Method for Resistor Value Identification

    Jun 29, 2026Rama Y. AlHamidi, Aseel A. Mohamed, Mustafa A. Eltayeb +2Efficientnet EncoderObject Detection

  57. Accurate Recognition of Pneumonia and COVID-19 by Geometric Shape Normalization of Lung Region using Automatic Landmark Detection and Piecewise Affine Warping

    Jun 29, 2026Salvador E. Ayala-Raggi, Rafael Alejandro Cruz-Ovando, Lauro Reyes-Cocoletzi +1One-Shot Medical Landmark DetectionRespiratory Sound Classification

  58. Evolutionary Hyperparameter Optimization to Find Lightweight CNN Models for Autonomous Steering

    Jun 29, 2026Devson Butani, Ryan Kaddis, Chan-Jin ChungAutonomous DrivingConvolutional Neural Networks

  59. Prototype Latent World Model Replay for Class-Incremental Learning

    Jun 28, 2026Weizhi Nie, Hui Wang, Weijie Wang +1Domain Incremental LearningLearnable Prototypes

  60. A Deep Multiscale Neural Network for Accurate Neurological Disorder Detection from MRI Scans and Real-Time Web Deployment

    Jun 27, 2026Ali Fatahi, Hoda Zamani, Mohammad H. Nadimi-ShahrakiMedical Image ClassificationMultimodal Deep Learning