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A lightweight convolutional and vision transformer hybrid network for parameter efficient plant disease classification

2026-04-17

Abstract excerpt

<title>Abstract</title> <p>Accurate plant disease classification for edge deployment requires models that are both precise and efficient. Convolutional neural networks (CNNs) learn local lesion patterns effectively. Pure Transformers capture global dependencies more explicitly, but they typically incur a higher computational cost. We propose CViTLw, a lightweight CNN-Transformer hybrid comprising a MobileNetV2 br...

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Literature Corpus work: 4d911b16-d77d-5259-8053-ecb2b8e2fb03
DOI: 10.21203/rs.3.rs-9235961/v1

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