Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant
  Disease Diagnosis   Plant diseases serve as one of main threats to food security and crop
production. It is thus valuable to exploit recent advances of artificial
intelligence to assist plant disease diagnosis. One popular approach is to
transform this problem as a leaf image classification task, which can be then
addressed by the powerful convolutional neural networks (CNNs). However, the
performance of CNN-based classification approach depends on a large amount of
high-quality manually labeled training data, which are inevitably introduced
noise on labels in practice, leading to model overfitting and performance
degradation. To overcome this problem, we propose a novel framework that
incorporates rectified meta-learning module into common CNN paradigm to train a
noise-robust deep network without using extra supervision information. The
proposed method enjoys the following merits: i) A rectified meta-learning is
designed to pay more attention to unbiased samples, leading to accelerated
convergence and improved classification accuracy. ii) Our method is free on
assumption of label noise distribution, which works well on various kinds of
noise. iii) Our method serves as a plug-and-play module, which can be embedded
into any deep models optimized by gradient descent based method. Extensive
experiments are conducted to demonstrate the superior performance of our
algorithm over the state-of-the-arts.

25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga