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Semantic Segmentation of Underwater Environments Using DeepLabv3+ and Transfer Learning
(Springer, 2022)
Acceso restringido
The semantic segmentation approach is essential in automated scene analysis, but its application in underwater environments is still limited. Datasets generally have insufficient labeled data, unbalanced data classes, and ...
Semantic Segmentation Using Convolutional Neural Networks for Volume Estimation of Native Potatoes at High Speed
(Springer, 2021)
Acceso restringido
Peru is one of the main producers of a wide variety of native potatoes in the world. Nevertheless, to achieve a competitive export of derived products is necessary to implement automation tasks in the production process. ...