Dual Branch Multi-Level Semantic Learning for Few-Shot Segmentation

Few-shot semantic segmentation aims to segment novel-class objects in a query image with only a few annotated examples in support images. Although progress has been made recently by combining prototype-based metric learning, existing methods still face two main challenges. First, various intra-class...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 14., Seite 1432-1447
1. Verfasser: Chen, Yadang (VerfasserIn)
Weitere Verfasser: Jiang, Ren, Zheng, Yuhui, Sheng, Bin, Yang, Zhi-Xin, Wu, Enhua
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article