IEEE GRSL: Integrating spatial details with long-range contexts for semantic segmentation of very high resolution remote sensing images
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Jun 6, 2024 - Python
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cnn-transformer
Here are 12 public repositories matching this topic...
Official implementation of "MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation" in MMSegmentation Framework.
medical-image-segmentation vision-transformer cnn-transformer maxvit multi-axis-attention maxvit-unet
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Feb 25, 2024 - Python
Complete code for the proposed CNN-Transformer model for natural language understanding.
nlu transformers intent snips dialogue-systems slot-filling natural-language-understanding encoder-decoder intent-detection atis transformer-decoder cnn-transformer
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Jun 21, 2026 - Jupyter Notebook
A deep learning approach for classifying crop types based on agricultural data.
machine-learning ai deep-learning transformers classification cnn-classification pythorch cnn-transformer
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May 9, 2026 - Jupyter Notebook
A hybrid CNN–Transformer framework for precise industrial surface defect detection and segmentation, integrating Vision Transformer (ViT) with convolutional modules to effectively capture both local texture details and global contextual features.
python pytorch transformer vision segmentation convolutional-neural-networks industrial image-segmentation local-features global-features defect-detection attention-module surface-defect-detection vision-transformer transunet defect-segmentation cnn-transformer
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Oct 13, 2025 - Python
Official implementation of "MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation" in MMSegmentation Framework.
medical-image-segmentation vision-transformer cnn-transformer maxvit multi-axis-attention maxvit-unet
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Feb 25, 2024 - Python
A state-of-the-art hybrid deep learning ensemble that combines the strengths of Convolutional Neural Networks (CNNs) and Transformers for intelligent plant disease detection and real world agricultural applications.
deep-learning image-classification ensemble-learning vgg16 resnet-50 plant-disease-detection vision-transformer swin-transformer plantvillage-dataset cnn-transformer haritax
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May 23, 2025 - Jupyter Notebook
ECG-TransNet implementation focused on the MIT-BIH Arrhythmia & AFDB datasets. Features a hybrid 1D-CNN & Transformer architecture for high-accuracy beat classification (AAMI standards). Includes specialized preprocessing for noise reduction, R-peak detection, and SHAP-based explainability for clinical validation of arrhythmia predictions.
deep-learning grad-cam pytorch transformer time-series-classification cardiology explainable-ai xai shap ecg-classification arrhythmia-detection 1d-cnn cnn-transformer
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Jun 8, 2026 - HTML
Custom Video Processing Model
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Jan 26, 2026 - Python
CNN-Transformer and ConvKAN based framework for obfuscated malware detection and classification using the MalImg dataset.
machine-learning deep-learning pytorch cybersecurity malware-detection malware-classification cnn-transformer convkan
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Jul 1, 2026 - Jupyter Notebook
Unofficial PyTorch reimplementation of LHNet-S/B — lightweight hybrid CNN–Transformer real-time semantic segmentation with multi-scale sliding-window attention (Neurocomputing 2026).
real-time computer-vision deep-learning python3 pytorch semantic-segmentation tensorrt paper-implementations onnx pytorch-implementation vision-transformer cnn-transformer lhnet
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Sep 4, 2026 - Python
End-to-end yoga pose classification web app using DenseNet121 and Flask, featuring a modular architecture, trained deep learning model, and deployment-ready UI for real-world inference
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Dec 27, 2025 - Jupyter Notebook
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