Abstract
<p indent=0mm>Sketch-based image retrieval (SBIR) aims to return a collection of corresponding images based on an input sketch. Different from traditional content-based image retrieval, unique difficulties exist due to the large domain gap between sketches and natural images. Based on the similarity between edgemaps and sketches, a novel SBIR model named spatial attentive edgemap fusion is presented which combines both image and edgemap features. Images and the corresponding edgemaps are first encoded to their own latent feature space, and then fused by a learned spatial attention map. Experiment results on two widely-used SBIR datasets, Sketchy and Flickr15K, show the promising performance of the proposed model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Computer-Aided Design & Computer Graphics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
