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Generative Model Based Highly Efficient Semantic Communication Approach for Image Transmission
Deep learning (DL) based semantic communication methods have been explored to transmit images efficiently in recent years.
Perceptual Image Restoration with High-Quality Priori and Degradation Learning
We show that our model performs well in measuring the similarity between restored and degraded images.
Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning
According to these findings, our SalGAIL approach applies deep reinforcement learning (DRL) to predict the head fixations of one subject, in which GAIL learns the reward of DRL, rather than the traditional human-designed reward.
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