Design, implementation, and application of a context aggregation-enhanced feature fusion approach for object detection and instance segmentation

Thesis
Design, implementation, and application of a context aggregation-enhanced feature fusion approach for object detection and instance segmentation

dc.contributor.advisor	Solar Fuentes, Mauricio Gonzalo (Profesor Guía)
dc.contributor.advisor	Farias Aroca, Humberto (Profesor Correferente)
dc.contributor.department	Universidad Técnica Federico Santa María. Departamento de Informática
dc.coverage.spatial	Campus Santiago San Joaquín
dc.creator	Núñez Fernández, Camilo Esteban
dc.date.accessioned	2024-10-07T13:09:51Z
dc.date.available	2024-10-07T13:09:51Z
dc.date.issued	2023-10
dc.description.degree	INGENIERO CIVIL INFORMÁTICO
dc.description.program	DEPARTAMENTO DE INFORMÁTICA. INGENIERÍA CIVIL INFORMÁTICA
dc.identifier.barcode	3560902039359
dc.identifier.uri	https://repositorio.usm.cl/handle/123456789/30369
dc.identifier.uri	https://doi.org/10.71700/dspace-memorias/813
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Instance Segmentation
dc.subject	Object Detection
dc.subject	Feature Fusion
dc.title	Design, implementation, and application of a context aggregation-enhanced feature fusion approach for object detection and instance segmentation
dspace.entity.type	Tesis

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