Header Image: Image Segmentation Using Deep Learning: A Survey: Shervin Minaee
Key Sections
Abstract
The first sentence indicates the applications using image segmentation and shows the importance. 1
Then, the second sentence shows the recent development of deep learning help image segmentation thriving.
Finally, the author talks about this work and its range of the content.
Key Terms
The author use 9 key words to indicate the range of his work. Maybe we can use less than this number.
Introduction
Related Works
Methods
Other left parts are similar.
Datasets
2.5D and 3D parts are similar style.
Performance Review
Some tabular data:
Challenges and Opportunities
Conclusion and Acknowledgements
Reference
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Minaee, S., Boykov, Y., Porikli, F., Plaza, A., Kehtarnavaz, N., & Terzopoulos, D. (2020). Image Segmentation Using Deep Learning: A Survey. 1–23. http://arxiv.org/abs/2001.05566 ↩
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