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Found 3 papers, 1 papers with code
Plant Disease Recognition Datasets in the Age of Deep Learning: Challenges and Opportunities
We further provide several directions for future, such as creating challenge-oriented datasets and the ultimate objective deploying deep learning in real-world applications with satisfactory performance.
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning
We believe that our paper sheds light on the importance of embracing poor datasets, enhances the understanding of the associated challenges, and contributes to the ambitious objective of deploying deep learning in real-world applications.
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification
TReaderXML dynamically obtains teacher knowledge for each text by similar texts and hierarchical label information in training sets to release the ability of distinctly fine-grained label-oriented semantic scope.
Multi Label Text Classification
Multi-Label Text Classification
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