Mar 17, 2020 · One popular approach is to transform this problem as a leaf image classification task, which can be then addressed by the powerful convolutional ...
Jan 25, 2022 · In this section, we introduce in detail the proposed rectified meta-learning scheme for plant disease classification. First, we state the ...
The proposed method enjoys the following merits: (i) A rectified meta-learning is designed to pay more attention to unbiased samples, leading to accelerated ...
Jan 25, 2022 · One popular approach is to transform this problem as a leaf image classification task, which can be then addressed by the powerful convolutional ...
Mar 18, 2020 · Illustration of the proposed noise-robust plant disease classification framework, which contains two phases that are performed iteratively: 1) ...
The proposed method enjoys the following merits: i) A rectified meta-learning is designed to pay more attention to unbiased samples, leading to accelerated ...
Mar 17, 2020 · This work proposes a novel framework that incorporates rectified meta-learning module into common CNN paradigm to train a noise-robust deep ...
Jan 15, 2024 · Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification. Deming Zhai, Ruifeng Shi, Junjun Jiang ...
Mar 8, 2023 · (2022) Rectified meta-learning from noisy labels for robust image-based plant disease classification. ACM Transac- tions on Multimedia ...
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