Improving the Robustness to Color Perturbations of Classification and ...
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Jun 17, 2024 · In this paper, we present a solution that leverages the color distribution to mitigate the sensitivity of machine learning models to light/color variations.
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables.
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables ; Polimena Stefano.
Jul 5, 2024 · Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables.
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables · Stefano Polimena ...
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables. 3. Clustering Under ...
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables · Author Picture ...
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables, Stefano Polimena ...
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables. ISMIS: 3-13 (2024)
This research proposes an efficient and reproducible novel model to classify multiple vegetables and fruits using handcrafted features.
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