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  # Research paper: Segmentation of Wheat Rust Disease Using Co-Salient Feature Extraction
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  can be accessed via https://doi.org/10.3390/agriengineering7020023
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- It is based on a two-stage model:
 
 
 
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  --ViT based classification and DCFM based co-salient feature extraction for segmenting out wheat rust disease.
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  #ViT
 
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  # Research paper: Segmentation of Wheat Rust Disease Using Co-Salient Feature Extraction
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  can be accessed via https://doi.org/10.3390/agriengineering7020023
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+ RustCoSeg is a is a novel two-stage pipeline that first classifies wheat leaf images using a Vision Transformer, followed by
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+ segmentation using a Co-Salient Object Detection-inspired architecture, effectively isolating rust-infected regions across related samples.
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+ Base models include:
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  --ViT based classification and DCFM based co-salient feature extraction for segmenting out wheat rust disease.
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  #ViT