Segment Anything Meets Semantic Communication

In light of the diminishing returns of traditional methods for enhancing transmission rates, the domain of semantic communication presents promising new frontiers. Focusing on image transmission, this paper explores the application of foundation models, particularly the Segment Anything Model (SAM)...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Shehbaz Tariq, Arfeto, Brian Estadimas, Zhang, Chaoning, Shin, Hyundong
Format:	Artikel
Sprache:	eng
Schlagworte:	Coding Computer architecture Image quality Image reconstruction Image segmentation Image transmission Neural networks Semantics Training
Online-Zugang:	Volltext
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