F³Net: Fusion, Feedback and Focus for Salient Object Detection
نویسندگان
چکیده
منابع مشابه
Salient Object Detection and Segmentation
Automatic estimation of salient object regions across images, without any prior assumption or knowledge of the contents of the corresponding scenes, enhances many computer vision and computer graphics applications. We introduce a regional contrast based salient object extraction algorithm, which simultaneously evaluates global contrast differences and spatial weighted coherence scores. The prop...
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Recent advances of supervised salient object detection models demonstrate significant performance on benchmark datasets. Training such models, however, requires expensive pixel-wise annotations of salient objects. Moreover, many existing salient object detection models assume that at least a salient object exists in the input image. Such an impractical assumption leads to less appealing salienc...
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Detecting and segmenting salient objects in natural scenes, also known as salient object detection, has attracted a lot of focused research in computer vision and has resulted in many applications. However, while many such models exist, a deep understanding of achievements and issues is lacking. We aim to provide a comprehensive review of the recent progress in this field. We situate salient ob...
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Salient object detection aims to locate objects that capture human attention within images. Previous approaches often pose this as a problem of image contrast analysis. In this work, we model an image as a hypergraph that utilizes a set of hyperedges to capture the contextual properties of image pixels or regions. As a result, the problem of salient object detection becomes one of finding salie...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2020
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v34i07.6916