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An Efficient Attention-Gated Hybrid Transformer-CNN Framework for Plant Disease Segmentation In-the-Wild

2026-08-19

Abstract excerpt

<title>Abstract</title> <p>In real field scenarios in agriculture, automatic segmentation of plant diseases is an important technique for precision farming. However, it remains exceptionally challenging due to blurred lesions, complex morphological structures, irregular backgrounds, and severe class imbalance. While traditional convo lutional networks struggle to capture long-range semantic context and standard v...

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Literature Corpus work
42d11e9a-219f-53c1-afd2-e1ae6e96d341
DOI
10.21203/rs.3.rs-10735517/v1
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An Efficient Attention-Gated Hybrid Transformer-CNN Framework for Plant Disease Segmentation In-the-WildDOI 10.21203/rs.3.rs-10735517/v1
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