Image Co-segmentation
This book presents and analyzes methods to perform image co-segmentation. In this book, the authors describe efficient solutions to this problem ensuring robustness and accuracy, and provide theoretical analysis for the same. Six different methods for image co-segmentation are presented. These metho...
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| Asıl Yazarlar: | , , , |
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| Müşterek Yazar: | |
| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| Edisyon: | 1st ed. 2023. |
| Seri Bilgileri: | Studies in Computational Intelligence,
1082 |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/978-981-19-8570-6 |
| Etiketler: |
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İçindekiler:
- Introduction
- Survey of Image Co-segmentation
- Mathematical Background
- Co-segmentation using a Classification Framework
- Use of Maximum Common Subgraph Matching
- Maximally Occurring Common Subgraph Matching
- Co-segmentation using Graph Convolutional Neural Network
- Use of a Conditional Siamese Convolutional Network
- Few-shot Learning for Co-segmentation
- Conclusions.