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Learning a discriminative region descriptor for fine-grained cultivar identification
Fine-grained visual recognition is a highly challenging problem due to the subtle differences
among subcategories. In this paper, we focus on variety recognition, a more challenging fine …
among subcategories. In this paper, we focus on variety recognition, a more challenging fine …
[HTML][HTML] Plant-leaf recognition based on sample standardization and transfer learning
G Li, R Zhang, D Qi, H Ni - Applied Sciences, 2024 - mdpi.com
In recent years, deep-learning methods have significantly improved the classification results
in the field of plant-leaf recognition. However, limited by the model input, the original image …
in the field of plant-leaf recognition. However, limited by the model input, the original image …
Fuzzy circularity: A new fuzzy shape-based descriptor of the object
V Ilić, NM Ralević - Journal of Mathematical Imaging and Vision, 2025 - Springer
This paper introduces a new family of fuzzy shape measures, called fuzzy circularity, to
evaluate the degree to which a considered fuzzy shape matches a fuzzy disk. A new family …
evaluate the degree to which a considered fuzzy shape matches a fuzzy disk. A new family …
[HTML][HTML] A deep learning method for differentiating safflower germplasm using optimal leaf structure features
Medicinal plants, such as safflower (Carthamustinctorius), are essential in both conventional
and modern healthcare. This study evaluatesthe reliability of leaf image classification for …
and modern healthcare. This study evaluatesthe reliability of leaf image classification for …
Identification of Fake Medicinal Raw Materials using Machine Learning Techniques
S Hariharaan, K Sudha - 2024 11th International Conference …, 2024 - ieeexplore.ieee.org
This paper extends the methodology for leaf classification by utilizing ResNet50, particle
swarm optimization for hyperparameter tuning (PSO), and support vector machines (SVM) to …
swarm optimization for hyperparameter tuning (PSO), and support vector machines (SVM) to …