A novel semi-supervised detection approach with weak annotation (2018)
- Authors:
- Autor USP: CESAR JUNIOR, ROBERTO MARCONDES - IME
- Unidade: IME
- DOI: 10.1109/SSIAI.2018.8470307
- Assunto: VISÃO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2018
- Source:
- Título: Proceedings
- Conference titles: Southwest Symposium on Image Analysis and Interpretation - SSIAI
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
TOKUDA, Eric K et al. A novel semi-supervised detection approach with weak annotation. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/SSIAI.2018.8470307. Acesso em: 28 fev. 2026. -
APA
Tokuda, E. K., Ferreira, G. B. A., Silva, C., & César Júnior, R. M. (2018). A novel semi-supervised detection approach with weak annotation. In Proceedings. Piscataway: IEEE. doi:10.1109/SSIAI.2018.8470307 -
NLM
Tokuda EK, Ferreira GBA, Silva C, César Júnior RM. A novel semi-supervised detection approach with weak annotation [Internet]. Proceedings. 2018 ;[citado 2026 fev. 28 ] Available from: https://doi.org/10.1109/SSIAI.2018.8470307 -
Vancouver
Tokuda EK, Ferreira GBA, Silva C, César Júnior RM. A novel semi-supervised detection approach with weak annotation [Internet]. Proceedings. 2018 ;[citado 2026 fev. 28 ] Available from: https://doi.org/10.1109/SSIAI.2018.8470307 - PCA-based 3D face photography
- A graph-based approach for object detection and action recognition in videos
- Graph-based pattern recognition and applications
- 3D face computational photography using PCA spaces
- Attributed graphs for tracking multiple objects in structured sports videos
- Interactive image segmentation by matching attributed relational graphs
- A spatio-temporal approach for multiple object detection in videos using graphs and probability maps
- Improved object matching using structural relations
- Conference on graphics, patterns and images
- Oversegmentation control for inexact graph matching: first results
Informações sobre o DOI: 10.1109/SSIAI.2018.8470307 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
2915987.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
