Hybrid CNN-Transformer Architectures

Momentum

7 papers in the last four weeks, up 17% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 75

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  1. 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 LiHybrid CNN-Transformer ArchitecturesExplainable Medical Image Analysis

  2. Protein-Based Fish Species Identification: Dataset, Models, and Insights from Native Bangladeshi Fish

    Jun 16, 2026Md Nasiat Hasan Fahim, Md. Abid Ullah Muhib, Mohammad Shahidur RahmanHybrid CNN-Transformer ArchitecturesProtein Language Models

  3. Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability

    Jun 13, 2026Hasibul Islam Sufi, Ridam Roy, Shayla Alam Setu +1Plant Disease ClassificationHybrid CNN-Transformer Architectures

  4. FAConformer: Frequency-Aware Convolutional Transformer for Auditory Attention Decoding

    Jun 12, 2026Ziwei Wang, Xingyi He, Tianwang Jia +2Hybrid CNN-Transformer ArchitecturesNeural Decoding

  5. Binary Black Hole Parameter Estimation with Hybrid CNN-Transformer Neural Networks

    Jun 11, 2026Panagiotis N. Sakellariou, Spiros V. Georgakopoulos, Sotiris Tasoulis +1Gravitational-Wave AstronomyHybrid CNN-Transformer Architectures

  6. PENet+: A Lightweight Residual Transformer Framework for Efficient Image Steganalysis

    Jun 9, 2026Jincheol AN, Dongsu Kim, Haneol Jang +1Efficient Neural Network InferenceHybrid CNN-Transformer Architectures

  7. Towards Robust Arabic Speech Emotion Recognition with Deep Learning

    Jun 9, 2026Youcef Soufiane Gheffari, Samiya SilarbiHybrid CNN-Transformer ArchitecturesSpeech Emotion Recognition

  8. BMCR: Adaptive Backbone Module Composition via Reinforcement Learning for Remote Sensing Object Detection

    Jun 4, 2026Wenlin Liu, Xikun Hu, Ping ZhongReinforcement LearningDynamic Neural Networks

  9. EEG-FuseFormer: A Transformer-Driven Feature Fusion Framework for Seizure Onset Prediction

    Jun 1, 2026Vigneshwar Hariharan, Chithra Reghuvaran, Arlene John +4ElectroencephalographyEEG Seizure Detection

  10. LALE: Lightweight-Transformer Architecture for Land-Cover Estimation

    Jun 1, 2026Ümit Mert Çağlar, Alptekin TemizelRemote Sensing Image SegmentationHybrid CNN-Transformer Architectures

  11. AMN: An Adaptive Multi-Scale Fusion Network with Boundary and Uncertainty Modeling for Nuclei Segmentation

    May 31, 2026Spoorthi M, Suja PalaniswamyHistopathology Image SegmentationHybrid CNN-Transformer Architectures

  12. ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization

    May 29, 2026Kanchan Keisham, Thenukan Pathmanathan, Thangarajah AkilanZero-Shot LearningHybrid CNN-Transformer Architectures

  13. SwInception -- Local Attention Meets Convolutions

    May 28, 2026David Hagerman, Roman Naeem, Jakob Lindqvist +3Hybrid CNN-Transformer ArchitecturesEfficient ViTs

  14. Accelerating HEVC Intra Partitioning via a CNN-Hierarchical Attention Transformer Hybrid

    May 27, 2026Krishna Kumar Sharma, Somdyuti PaulEfficient Neural Network InferenceHybrid CNN-Transformer Architectures

  15. A Two-Scan Deep Learning Model for Predicting Dementia in Mild Cognitive Impairment

    May 27, 2026Sara Fin, Alireza Moayedikia, David J. White +2Hybrid CNN-Transformer ArchitecturesLongitudinal Medical Image Analysis

  16. ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression

    May 27, 2026Haisheng Fu, Runyu Yang, Feng Ding +5Learned Image CompressionHybrid CNN-Transformer Architectures

  17. CNNs, Transformers, Hybrid, and Vision Language Models for Skin Cancer Detection

    May 25, 2026Durjoy Dey, Yuhong Yan, Hassan HajjdiabHybrid CNN-Transformer ArchitecturesVision Transformer

  18. Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening

    May 25, 2026Durjoy Dey, Aymane Ajbar, Yuhong YanHybrid CNN-Transformer ArchitecturesVision Transformer

  19. HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate signals

    May 25, 2026Shuwen Yu, William P Marnane, Geraldine B. Boylan +1Hybrid CNN-Transformer Architectures

  20. TinyFormer: Preserving Tiny Objects in YOLO-DETR Hybrid Real-time Detectors

    May 24, 2026Jun-Wei Hsieh, Meng-Yu Kao, Ghufron Wahyu Kurniawan +1Hybrid CNN-Transformer ArchitecturesSmall Object Detection

  21. Long-horizon prediction of three-dimensional wall-bounded turbulence with CTA-Swin-UNet and resolvent analysis

    May 18, 2026Bo Chen, Yitong Fan, Jie Yao +1Long-Term Time Series ForecastingHybrid CNN-Transformer Architectures

  22. Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation

    May 12, 2026Joel Valdivia Ortega, Tingying Peng, Marion JasninHybrid CNN-Transformer ArchitecturesVision Foundation Model Adaptation

  23. USEMA: a Scalable Efficient Mamba Like Attention for Medical Image Segmentation

    May 11, 2026Elisha Dayag, Nhat Thanh Tran, Jack XinImage SegmentationHybrid CNN-Transformer Architectures

  24. InfiltrNet: Dual-Branch CNN-Transformer Architecture for Brain Tumor Infiltration Risk Prediction

    May 4, 2026S M Asif Hossain, Shruti KshirsagarHybrid CNN-Transformer ArchitecturesMedical Image Analysis

  25. Deep neural networks with Fisher vector encoding for medical image classification

    May 3, 2026Lucas O. Lyra, Antonio E. Fabris, Joao B. FlorindoHybrid CNN-Transformer ArchitecturesMedical Image Classification

  26. CNN-based Multi-In-Multi-Out Model for Efficient Spatiotemporal Prediction

    May 2, 2026Hyeonseok JinEfficient Neural Network InferencePrecipitation Forecasting

  27. A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

    Apr 26, 2026Peng Chen, Wenxuan He, Feng Qian +2Hybrid CNN-Transformer ArchitecturesTransformer Attention

  28. Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather

    Apr 26, 2026Md Abubakkar, Sajib Debnath, Md. Uzzal MiaHybrid CNN-Transformer ArchitecturesTime Series Forecasting