The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
A survey on instance segmentation: state of the art
Open accessAbstract
Object detection or localization is an incremental step in progression from coarse to fine digital image inference. It not only provides the classes of the image objects, but also provides the location of the image objects which have been classified. The location is given in the form of bounding boxes or centroids. Semantic segmentation gives fine inference by predicting labels for every pixel in the input image. Each pixel is labelled according to the object class within which it is enclosed. Furthering this evolution, instance segmentation gives different labels for separate instances of objects belonging to the same class. Hence, instance segmentation may be defined as the technique of simultaneously solving the problem of object detection as well as that of semantic segmentation. In this survey paper on instance segmentation, its background, issues, techniques, evolution, popular datasets, related work up to the state of the art and future scope have been discussed. The paper provides valuable information for those who want to do research in the field of instance segmentation.
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Early Melanoma Detection Based on a Hybrid YOLOv5 and ResNet Technique
Elshahawy, M., Elnemr, A., Oproescu, M., Schiopu, A.-G., Elgarayhi, A., Elmogy, M. M., & Sallah, M. (2023) · doi:10.20944/preprints202307.1970.v1 · Cited by 51
Tanoglidis, D., Ćiprijanović, A., Drlica-Wagner, A., Nord, B., Wang, M. H. L. S., Amsellem, A. J., Downey, K., Jenkins, S., Kafkes, D., & Zhang, Z. (2021) · arXiv · doi:10.48550/arxiv.2109.08246 · Cited by 25
El Ghazouali, S., Mhirit, Y., Oukhrid, A., Michelucci, U., & Nouira, H. (2024) · Sensors · doi:10.3390/s24092889 · Cited by 24
Metadata
- Authors
- Hafiz, A. M., & Bhat, G. M.
- Venue
- International Journal of Multimedia Information Retrieval
- Published
- 2020-07-03
- Volume
- 9
- Issue
- 3
- Pages
- 171-189
- ISSN
- 2192-6611 (ISSN-L)
- 2192-662X
- OpenAlex
- W3039368862
- Cited by
- 498
- References
- 57
- FWCI
- 18.98
- Type
- journal article
- Language
- en
- Open access
- green
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