The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation
Open accessAbstract
Abstract Image segmentation refers to the process to divide an image into meaningful non-overlapping regions according to human perception, which has become a classic topic since the early ages of computer vision. A lot of research has been conducted and has resulted in many applications. While many segmentation algorithms exist, there are only a few sparse and outdated summarizations available. Thus, in this paper, we aim to provide a comprehensive review of the recent progress in the field. Covering 190 publications, we give an overview of broad segmentation topics including not only the classic unsupervised methods, but also the recent weakly-/semi-supervised methods and the fully-supervised methods. In addition, we review the existing influential datasets and evaluation metrics. We also suggest some design choices and research directions for future research in image segmentation.
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Cited by
A Review on Deep Learning Techniques Applied to Semantic Segmentation
García-García, A., Orts‐Escolano, S., Oprea, S., Villena-Martínez, V., & García‐Rodríguez, J. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1704.06857 · Cited by 991
Survey on semantic segmentation using deep learning techniques
Lateef, F., & Ruichek, Y. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.02.003 · Cited by 559
Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges
Siam, M., Elkerdawy, S., Jagersand, M., & Yogamani, S. (2017) · 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2017.8317714 · Cited by 178
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods
Gao, B., Pan, Y., Li, C., Geng, S., & Zhao, H. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3076844 · Cited by 105
Semantic and structural image segmentation for prosthetic vision
Sanchez-Garcia, M., Martinez-Cantin, R., & Guerrero, J. J. (2020) · PLOS ONE · doi:10.1371/journal.pone.0227677 · Cited by 62
Metadata
- Authors
- Zhu, H., Meng, F., Cai, J., & Lu, S.
- Venue
- Journal of Visual Communication and Image Representation
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 34
- Pages
- 12-27
- ISSN
- 1047-3203 (ISSN-L)
- OpenAlex
- W1808966389
- Cited by
- 233
- References
- 14
- FWCI
- 23.97
- Type
- journal article
- Language
- en
- Open access
- green
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