DFYOLOv5m-M2transformer: Interpretation of vegetable disease recognition results using image dense captioning techniques

Author:

Sun Wei,Wang ChunshanORCID,Wu Huarui,Miao Yisheng,Zhu Huaji,Guo Wang,Li Jiuxi

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference35 articles.

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3. Plant Disease Recognition Model Based on Improved YOLOv5;Chen;Agronomy,2022

4. Cornia, M., Stefanini, M., Baraldi, L., et al., 2020. Meshed-memory transformer for image captioning: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020.

5. A closer look: Small object detection in faster R-CNN;Eggert,2017

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