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Feature boosting with efficient attention for scene parsing
This paper presents a novel feature-boosting network that gathers spatial context from multiple levels of feature extraction and computes the attention weights for each level of representation to generate the final class labels.
Audio-visual video face hallucination with frequency supervision and cross modality support by speech based lip reading loss
In order to learn these fine spatio-temporal motion details, we propose a novel cross-modal audio-visual Video Face Hallucination Generative Adversarial Network (VFH-GAN).
Frequency Aware Face Hallucination Generative Adversarial Network with Semantic Structural Constraint
To explicitly encode the high frequency components, an auto encoder is proposed to generate high resolution coefficients of Discrete Cosine Transform (DCT).
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