The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Review of Visual Saliency Detection With Comprehensive Information
Open accessAbstract
The visual saliency detection model simulates the human visual system to perceive the scene and has been widely used in many vision tasks. With the development of acquisition technology, more comprehensive information, such as depth cue, inter-image correspondence, or temporal relationship, is available to extend image saliency detection to RGBD saliency detection, co-saliency detection, or video saliency detection. The RGBD saliency detection model focuses on extracting the salient regions from RGBD images by combining the depth information. The co-saliency detection model introduces the inter-image correspondence constraint to discover the common salient object in an image group. The goal of the video saliency detection model is to locate the motion-related salient object in video sequences, which considers the motion cue and spatiotemporal constraint jointly. In this paper, we review different types of saliency detection algorithms, summarize the important issues of the existing methods, and discuss the existent problems and future works. Moreover, the evaluation datasets and quantitative measurements are briefly introduced, and the experimental analysis and discussion are conducted to provide a holistic overview of different saliency detection methods.
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Cites
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Self-citationSaliency Detection via Graph-Based Manifold Ranking
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Self-citationThe Secrets of Salient Object Segmentation
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Global Context-Aware Progressive Aggregation Network for Salient Object Detection
Chen, Z., Xu, Q., Cong, R., & Huang, Q. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6633 · Cited by 477
Self-citationSwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection
Liu, Z., Tan, Y., He, Q., & Xiao, Y. (2022) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3127149 · Cited by 384
Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection
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Metadata
- Authors
- Cong, R., Lei, J., Fu, H., Cheng, M.-M., Lin, W., & Huang, Q.
- Venue
- IEEE Transactions on Circuits and Systems for Video Technology
- Published
- 2019-10
- Volume
- 29
- Issue
- 10
- Pages
- 2941-2959
- ISSN
- 1051-8215 (ISSN-L)
- 1558-2205
- OpenAlex
- W2793668851
- Cited by
- 419
- References
- 105
- FWCI
- 19.69
- Type
- journal article
- Language
- en
- Open access
- green
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