基于测试时增强与模型置信度的少样本叶片分割计数方法
文档摘要
深度解读：《Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs》 ——面向高遮挡单类植物图像的轻量鲁棒分割范式重构 📋 论文基本信息 标题：Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs 作者：Douglas Pinto Sampaio Gomes, Lihong Zheng ArXiv ID：2012.
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