TONIC proposes token-centric semantic communication using utility-aware unequal error protection at the transmitter and confidence-based gating with a completion model at the receiver to improve task performance in wireless systems.
An image is worth 16x16 words: Transformers for image recognition at scale
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
MARMamba is a streamlined UNet with MS-Mamba modules that removes metal artifacts from CT images while preserving anatomical structures and using fewer resources.
citing papers explorer
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TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems
TONIC proposes token-centric semantic communication using utility-aware unequal error protection at the transmitter and confidence-based gating with a completion model at the receiver to improve task performance in wireless systems.
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Balancing Efficiency and Restoration: Lightweight Mamba-Based Model for CT Metal Artifact Reduction
MARMamba is a streamlined UNet with MS-Mamba modules that removes metal artifacts from CT images while preserving anatomical structures and using fewer resources.