Referring expression generation from images via deep learning object extraction and fuzzy graphs

Autor:	Miriam Mengibar-Rodriguez, Daniel Sánchez, Gustavo Rivas-Gervilla, Jesús Chamorro-Martínez, Nicolas Marin
Rok vydání:	2021
Předmět:	Categorization Computer science business.industry Referring expression generation Deep learning Graph (abstract data type) Pattern recognition Context (language use) Artificial intelligence Image segmentation business Representation (mathematics) Fuzzy logic
Zdroj:	FUZZ-IEEE
DOI:	10.1109/fuzz45933.2021.9494544
Popis:	We propose an approach to obtain referring expressions for objects in images. Segmentation and categorization is performed via deep learning, providing the basis for a graph-based representation of the context that is later enriched with fuzzy properties. Referable objects and their corresponding expressions are obtained from the graph using extraction algorithms following a classical REG approach. The proposal is more flexible and scalable than end-to-end deep learning techniques.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9a0f9b60d9bac176fc3d66aebec0fd01 https://doi.org/10.1109/fuzz45933.2021.9494544 Zobrazit plný text záznamu