Attention-guided cross-modal multiple feature aggregation network for RGB-D salient object detection Article Swipe
Bojian Chen
,
Wenbin Wu
,
Zhezhou Li
,
Tengfei Han
,
Zhuolei Chen
,
Weihao Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3934/era.2024031
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3934/era.2024031
The goal of RGB-D salient object detection is to aggregate the information of the two modalities of RGB and depth to accurately detect and segment salient objects. Existing RGB-D SOD models can extract the multilevel features of single modality well and can also integrate cross-modal features, but it can rarely handle both at the same time. To tap into and make the most of the correlations of intra- and inter-modality information, in this paper, we proposed an attention-guided cross-modal multi-feature aggregation network for RGB-D SOD. Our motivation was that both cross-modal feature fusion and multilevel feature fusion are crucial for RGB-D SOD task. The main innovation of this work lies in two points: One is the cross-modal pyramid feature interaction (CPFI) module that integrates multilevel features from both RGB and depth modalities in a bottom-up manner, and the other is cross-modal feature decoder (CMFD) that aggregates the fused features to generate the final saliency map. Extensive experiments on six benchmark datasets showed that the proposed attention-guided cross-modal multiple feature aggregation network (ACFPA-Net) achieved competitive performance over 15 state of the art (SOTA) RGB-D SOD methods, both qualitatively and quantitatively.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3934/era.2024031
- OA Status
- gold
- Cited By
- 3
- References
- 114
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390777507
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4390777507Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3934/era.2024031Digital Object Identifier
- Title
-
Attention-guided cross-modal multiple feature aggregation network for RGB-D salient object detectionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Bojian Chen, Wenbin Wu, Zhezhou Li, Tengfei Han, Zhuolei Chen, Weihao ZhangList of authors in order
- Landing page
-
https://doi.org/10.3934/era.2024031Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3934/era.2024031Direct OA link when available
- Concepts
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RGB color model, Feature (linguistics), Artificial intelligence, Computer science, Benchmark (surveying), Modal, Pattern recognition (psychology), Modality (human–computer interaction), Salient, Computer vision, Geography, Linguistics, Geodesy, Chemistry, Philosophy, Polymer chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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114Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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