DACG-IR adds a lightweight degradation-aware module that generates prompts to adaptively gate attention temperature, output features, and spatial-channel fusion in an encoder-decoder network for unified image restoration.
Gate-variants of gated recurrent unit (gru) neural networks,
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
UniMamba integrates Mamba state-space dynamics with attention layers and transforms like FFT-Laplace to outperform prior models on multivariate time series forecasting benchmarks.
UW-ER integrates predictive uncertainty into experience replay for stable online CSI prediction in MIMO systems, showing NMSE near 0 dB and strong uncertainty-error correlation on 3GPP data.
citing papers explorer
-
Degradation-Aware Adaptive Context Gating for Unified Image Restoration
DACG-IR adds a lightweight degradation-aware module that generates prompts to adaptively gate attention temperature, output features, and spatial-channel fusion in an encoder-decoder network for unified image restoration.
-
UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
UniMamba integrates Mamba state-space dynamics with attention layers and transforms like FFT-Laplace to outperform prior models on multivariate time series forecasting benchmarks.
-
Uncertainty-Weighted Experience Replay for Continual MIMO Channel Prediction
UW-ER integrates predictive uncertainty into experience replay for stable online CSI prediction in MIMO systems, showing NMSE near 0 dB and strong uncertainty-error correlation on 3GPP data.