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.