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cs.CV2024
Self-supervised transformer-based pre-training method with General Plant Infection dataset
Zhengle Wang, Ruifeng Wang, Minjuan Wang +2
Pest and disease classification is a challenging issue in agriculture. The performance of deep learning models is intricately linked to training data diversity and quantity, posing…
cs.CV2022
Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod
Si Yang, Lihua Zheng, Xieyuanli Chen +3
The mature soybean plants are of complex architecture with pods frequently touching each other, posing a challenge for in-situ segmentation of on-branch soybean pods. Deep learning…