BriefGPT.xyz
Aug, 2023
基于视觉和文本先验的蒙版组装用于少样本分割及更多应用
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
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Chen Shuai, Meng Fanman, Zhang Runtong, Qiu Heqian, Li Hongliang...
TL;DR
通过集成CLIP模型,我们提出了一种视觉和文本先验引导的掩膜组装网络(PGMA-Net),以解决现有基于CLIP的少样本分割方法对基准类别的偏见预测问题,并取得了最新的研究成果。
Abstract
few-shot segmentation
(FSS) aims to segment the novel classes with a few annotated images. Due to
clip
's advantages of aligning visual and textual information, the integration of
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