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AuthorElharrouss, Omar
AuthorElkaitouni, Soukaina El Idrissi
AuthorAkbari, Younes
AuthorAl-Maadeed, Somaya
AuthorBouridane, Ahmed
Available date2024-06-06T11:35:20Z
Publication Date2023-09
Publication NameProceedings - European Workshop on Visual Information Processing, EUVIP
Identifierhttp://dx.doi.org/10.1109/EUVIP58404.2023.10323073
CitationElharrouss, O., ElKaitouni, S. E., Akbari, Y., Al-Maadeed, S., & Bouridane, A. (2023, September). Attention-based Network for Image/Video Salient Object Detection. In 2023 11th European Workshop on Visual Information Processing (EUVIP) (pp. 1-6). IEEE.
ISBN979-8-3503-4219-2
ISSN2164-974X
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85179513733&origin=inward
URIhttp://hdl.handle.net/10576/55892
AbstractThe goal of video or image salient object detection is to identify the most important object in the scene, which can be helpful in many computer vision-based tasks. As the human vision framework has a successful capacity to effortlessly perceive locales of interest from complex scenes, salient object detection mimics a similar concept. However, the salient object detection (SOD) of complex video scenes is a challenging task. This paper mainly focuses on learning from channel and Spatiotemporal representations for image/video salient object detection. The proposed method consists of three levels, the frontend, the attention models, and the backend. While the frontend consists of VGG backbone which ultimately learns the representation of the common and the discrimination features. After that, both Attention, Channel-wise, and Spatiotemporal models are applied to highlight the significant object using a feature detector and to calculate the spatial attention. Then the output features are fused to obtain the final saliency result. Experimental investigation evaluations confirm that our proposed model has proved its validity and effectiveness compared with the state-of-the-art methods.
Languageen
SubjectImage Salient Object Detection
Image segmentation
semantic segmentation
Video Salient Object Detection
TitleAttention-based Network for Image/Video Salient Object Detection
TypeArticle
Pagination1-6
ESSN2471-8963
EISBN979-8-3503-4218-5
dc.accessType Full Text


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