Author

Santhya C

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Conference Open access Sep 2026

Object Surface Defect Segmentation using Vision Transformers and Hybrid Models

An empirical comparison between three deep learning frameworks for pixel-based surface defect detection: a baseline CNN architecture known as U-Net, Vision Transformer (ViT) based on patch-wise attention mechanism, and TransUNet that combines CNN and transformer architecture.

Santhya C, VS Sneha Chowdary, Beaulah Jeyavathana · Engineering & Technology · 0 citations