GSCINet: Gradual Shrinkage and Cyclic Interaction Network for Salient Object Detection Article Swipe
Yanguang Sun
,
Xiuju Gao
,
Chenxing Xia
,
Bin Ge
,
Songsong Duan
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11131964
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11131964
Feature Pyramid Network (FPN) has been widely applied in the task of salient object detection (SOD), which has achieved great performance. However, most existing FPN-based SOD methods still have some limitations, such as insufficient guidance due to gradual dilution of semantic information, excessive computation leading to slow inference speed, and low efficiency of training models. In this paper, we design a novel Gradual Shrinkage and Cyclic Interaction Network (GSCINet) for efficient and accurate SOD, consisting of a Multi-Scale Contextual Attention Module (MSCAM) and an Adjacent Feature Shrinkage and Interaction Module (AFSIM). Specifically, the MSCAM aims at efficiently capturing multi-scale and multi-receptive-field contextual attention information through a series of well-designed convolutions and attention weight matrices of different scales to enhance the performance of initial input features. Subsequently, in AFSIM, we propose a gradual shrinkage structure and introduce a circular interaction mechanism to optimize the compressed features with less calculation cost, thereby enabling fast and accurate inference of salient objects. Extensive experimental results demonstrate the high efficiency and superiority of GSCINet against 17 state-of-the-art (SOTA) saliency detection methods under multiple evaluation metrics.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics11131964
- https://www.mdpi.com/2079-9292/11/13/1964/pdf?version=1656206289
- OA Status
- gold
- Cited By
- 3
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283365273
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283365273Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics11131964Digital Object Identifier
- Title
-
GSCINet: Gradual Shrinkage and Cyclic Interaction Network for Salient Object DetectionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-23Full publication date if available
- Authors
-
Yanguang Sun, Xiuju Gao, Chenxing Xia, Bin Ge, Songsong DuanList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics11131964Publisher landing page
- PDF URL
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https://www.mdpi.com/2079-9292/11/13/1964/pdf?version=1656206289Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-9292/11/13/1964/pdf?version=1656206289Direct OA link when available
- Concepts
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Computer science, Inference, Feature (linguistics), Pyramid (geometry), Artificial intelligence, Shrinkage, Salient, Computation, Pattern recognition (psychology), Object (grammar), Field (mathematics), Machine learning, Algorithm, Mathematics, Pure mathematics, Philosophy, Geometry, LinguisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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48Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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