| Texto completo | |
| Autor(es): |
Bui, Tu
;
Ribeiro, Leonardo
;
Ponti, Moacir
;
Collomosse, John
;
Jawahar, CV
;
Li, H
;
Mori, G
;
Schindler, K
Número total de Autores: 8
|
| Tipo de documento: | Artigo Científico |
| Fonte: | COMPUTER VISION - ACCV 2018, PT III; v. 11363, p. 16-pg., 2019-01-01. |
| Resumo | |
We present an algorithm for visually searching image collections using free-hand sketched queries. Prior sketch based image retrieval (SBIR) algorithms adopt either a category-level or fine-grain (instance-level) definition of cross-domain similarity-returning images that match the sketched object class (category-level SBIR), or a specific instance of that object (fine-grain SBIR). In this paper we take the middle-ground; proposing an SBIR algorithm that returns images sharing both the object category and key visual characteristics of the sketched query without assuming photo-approximate sketches from the user. We describe a deeply learned cross-domain embedding in which 'mid-grain' sketch-image similarity may be measured, reporting on the efficacy of unsupervised and semi-supervised manifold alignment techniques to encourage better intra-category (mid-grain) discrimination within that embedding. We propose a new mid-grain sketch-image dataset (MidGrain65c) and demonstrate not only mid-grain discrimination, but also improved category-level discrimination using our approach. (AU) | |
| Processo FAPESP: | 17/10068-2 - Métodos de redução de dimensionalidade em representações geradas por redes convolucionais triplet |
| Beneficiário: | Leo Sampaio Ferraz Ribeiro |
| Modalidade de apoio: | Bolsas no Brasil - Iniciação Científica |
| Processo FAPESP: | 16/16111-4 - Aprendizado de características na recuperação de imagens baseada em rascunhos e no sensoriamento remoto de baixa altitude |
| Beneficiário: | Moacir Antonelli Ponti |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |