Cargando…
Deep Common Semantic Space Embedding for Sketch-Based 3D Model Retrieval
Sketch-based 3D model retrieval has become an important research topic in many applications, such as computer graphics and computer-aided design. Although sketches and 3D models have huge interdomain visual perception discrepancies, and sketches of the same object have remarkable intradomain visual...
Autores principales: | Bai, Jing, Wang, Mengjie, Kong, Dexin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514853/ https://www.ncbi.nlm.nih.gov/pubmed/33267083 http://dx.doi.org/10.3390/e21040369 |
Ejemplares similares
-
A Novel Medical Freehand Sketch 3D Model Retrieval Method by Dimensionality Reduction and Feature Vector Transformation
por: Jing, Zhang, et al.
Publicado: (2016) -
On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval
por: Gong, Yan, et al.
Publicado: (2021) -
SEmHuS: a semantically embedded humanitarian space
por: Shamoug, Aladdin, et al.
Publicado: (2023) -
Modeling Semantic Encoding in a Common Neural Representational Space
por: Van Uden, Cara E., et al.
Publicado: (2018) -
Gradually focused fine-grained sketch-based image retrieval
por: Zhu, Ming, et al.
Publicado: (2019)