Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation

We address the problem of few-shot semantic segmentation (FSS), which aims to segment novel class objects in a target image with a few annotated samples. Though recent advances have been made by incorporating prototype-based metric learning, existing methods still show limited performance under extr...

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Hauptverfasser:	Kwon, Hyeongjun, Jeong, Somi, Kim, Sunok, Sohn, Kwanghoon
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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