ZAM: Zero parameter Attention Module
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Updated
Oct 2, 2019 - Python
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attention-module
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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
This code for solving the imbalance problems in regression head of object detectors. Comparison methods contain:Smooth-l1, IoU-loss, GIoU-loss, DIoU-loss, CIoU-loss.
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Updated
Oct 17, 2022
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