Image Co-segmentation
Hati, Avik, Velmurugan, Rajbabu, Banerjee, Sayan, Chaudhuri, Subhasis
Produktnummer:
1871d7a30b272b414fa5d5609fc6af8608
| Autor: | Banerjee, Sayan Chaudhuri, Subhasis Hati, Avik Velmurugan, Rajbabu |
|---|---|
| Themengebiete: | conditional encoder-decoder graph convolutional neural network label propagation metric learning subgraph matching |
| Veröffentlichungsdatum: | 03.02.2024 |
| EAN: | 9789811985720 |
| Sprache: | Englisch |
| Seitenzahl: | 221 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Singapore |
Produktinformationen "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 methods use concepts from statistical mode detection, subgraph matching, latent class graph, region growing, graph CNN, conditional encoder–decoder network, meta-learning, conditional variational encoder–decoder, and attention mechanisms. The authors have included several block diagrams and illustrative examples for the ease of readers. This book is a highly useful resource to researchers and academicians not only in the specific area of image co-segmentation but also in related areas of image processing, graph neural networks, statistical learning, and few-shot learning.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen