OmniISR unifies centralized, federated, and hybrid learning by injecting mutual-information supervision and negative-entropy regularization at multiple hidden layers, with supporting convergence and drift bounds.
Pyramid scene parsing network,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A unified imaging model and weather-prior network restores scenes across multiple adverse conditions by estimating occlusion and transmission from physical particle and scattering effects.
citing papers explorer
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OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization
OmniISR unifies centralized, federated, and hybrid learning by injecting mutual-information supervision and negative-entropy regularization at multiple hidden layers, with supporting convergence and drift bounds.
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Unifying Physically-Informed Weather Priors in A Single Model for Image Restoration Across Multiple Adverse Weather Conditions
A unified imaging model and weather-prior network restores scenes across multiple adverse conditions by estimating occlusion and transmission from physical particle and scattering effects.