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Published in:
2023 | OriginalPaper | Chapter
9. Few-shot Learning for Co-segmentation
Authors : Avik Hati, Rajbabu Velmurugan, Sayan Banerjee, Subhasis Chaudhuri
Published in: Image Co-segmentation
Publisher: Springer Nature Singapore
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Abstract
This chapter describes a few-shot learning approach to tackle the small sample size problem encountered in learning co-segmentation models with small datasets like iCoseg and MSRC. The multi-image co-segmentation algorithm explained in this chapter involves a class agnostic meta-learning strategy by generalizing the model to new classes given only a small number of training samples for each new class. This is achieved through a directed variational inference cross-encoder, which learns a continuous embedding space to ensure better similarity learning.