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
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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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Jan 3, 2024 - Jupyter Notebook
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
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
Custom Video Processing Model
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Oct 19, 2025 - Python
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