Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression (2018)
- Authors:
- Autor USP: PONTI, MOACIR ANTONELLI - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.cag.2017.12.006
- Subjects: APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES; RECUPERAÇÃO DA INFORMAÇÃO; BENCHMARKS
- Keywords: Sketch based image retrieval (SBIR); Deep learning; Cross-domain modeling; Compact feature representations; Multi-stage regression; Contrastive and triplet losses
- Language: Inglês
- Imprenta:
- Publisher place: Kidlington
- Date published: 2018
- Source:
- Título: Computers & Graphics
- ISSN: 0097-8493
- Volume/Número/Paginação/Ano: v. 71, p. 77-87, Apr. 2018
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BUI, Tu et al. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression. Computers & Graphics, v. 71, p. 77-87, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2017.12.006. Acesso em: 20 jan. 2026. -
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2018). Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression. Computers & Graphics, 71, 77-87. doi:10.1016/j.cag.2017.12.006 -
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression [Internet]. Computers & Graphics. 2018 ; 71 77-87.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.cag.2017.12.006 -
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression [Internet]. Computers & Graphics. 2018 ; 71 77-87.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.cag.2017.12.006 - Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis
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Informações sobre o DOI: 10.1016/j.cag.2017.12.006 (Fonte: oaDOI API)
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