Aug 5, 2021 · In this study, a rapid and highly efficient lightweight CNN based on visual attention, namely SeedSortNet, is proposed for seed sorting.
In this study, a rapid and highly efficient lightweight CNN based on visual attention, namely SeedSortNet, is proposed for seed sorting. First, a dual ...
In this study, a rapid and highly efficient lightweight CNN based on visual attention, namely SeedSortNet, is proposed for seed sorting. First, a dual ...
The successful application of machine vision in seed quality evaluation provides support for using it in the genuineness detection of maize seeds. Recently, ...
Missing: SeedSortNet: visual
Jan 30, 2023 · Li et al. [36] proposed a fast and efficient lightweight CNN (i.e. SeedSortNet) for seed sorting and proved the effectiveness and advancement of ...
... a rapid and efficient lightweight CNN model with a dual-branch network structure based on visual attention for seed sorting, denoted as SeedSortNet. It is ...
SeedSortNet: a rapid and highly effificient lightweight CNN based on visual attention for seed sorting. PeerJ Comput. Sci., 7 (2021), Article e639, 10.7717 ...
Seed sorting has been extensively studied and is considered as image classification setting with the goal of distinguishing between normal and abnormal seeds.
Missing: SeedSortNet: rapid attention
The seed sorting methods based on convolutional neural networks (CNNs) have achieved excellent recognition accuracy on large-scale pretrained network models.
Missing: SeedSortNet: visual
