Segment object in new domain with few examples using intra-domain feature information with RestNet
Segment object in new domain with few examples using intra-domain feature information with RestNet
RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network
arXiv paper abstract https://arxiv.org/abs/2308.13469
arXiv PDF paper https://arxiv.org/pdf/2308.13469.pdf
Cross-domain few-shot segmentation (CD-FSS) aims to achieve semantic segmentation in previously unseen domains with a limited number of annotated samples.
Although existing CD-FSS models focus on cross-domain feature transformation, relying exclusively on inter-domain knowledge transfer may lead to the loss of critical intra-domain information.
… propose a novel residual transformation network (RestNet) that facilitates knowledge transfer while retaining the intra-domain support-query feature information.
… propose a Semantic Enhanced Anchor Transform (SEAT) module that maps features to a stable domain-agnostic space using advanced semantics.
Additionally, an Intra-domain Residual Enhancement (IRE) module is designed to maintain the intra-domain representation of the original discriminant space in the new space.
… RestNet can transfer cross-domain knowledge from both inter-domain and intra-domain without requiring additional fine-tuning … show … RestNet achieves state-of-the-art performance …
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