SAGE mixes attention importance with embedding diversity sampling to reach 93% of full server accuracy on ImageNet-1K while sending under half the evidence units, beating pure importance selection.
Deep learning enabled semantic communication systems
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
E2E-WAVE achieves +5 dB PSNR and real-time 16 FPS 128x128 video over 2.3 kbps underwater channels by learning waveforms that favor semantic similarity on decoding errors.
A causal diffusion model reconstructs videos from ultra-low-bitrate semantics and compressed frames using temporal distillation from a bidirectional teacher, outperforming prior baselines.
citing papers explorer
-
E2E-WAVE: End-to-End Learned Waveform Generation for Underwater Video Multicasting
E2E-WAVE achieves +5 dB PSNR and real-time 16 FPS 128x128 video over 2.3 kbps underwater channels by learning waveforms that favor semantic similarity on decoding errors.