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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 ...
Stimulation of Numerical Skills in Children with Visual Impairments Using Image Recognition
(Elsevier B.V., 2021)
Acceso abierto
The learning process in training children with visual impairments and low vision requires the use of new devices that integrate image recognition and feedback on stimulation sequences with the senses of tactile and auditory ...
On the relevance of the metadata used in the semantic segmentation of indoor image spaces
(Elsevier, 2021)
Acceso abierto
The study of artificial learning processes in the area of computer vision context has mainly focused on achieving a fixed output target rather than on identifying the underlying processes as a means to develop solutions ...
Automated classification system of giant white corn using image processing and supervised techniques
(International Society for Computers and Their Applications, 2018)
Acceso restringido
Nowadays, the use of artificial vision for classification in agricultural products has proven to have a great impact on this field. The exportation of agricultural goods has risen all over the world, consequently, that is ...