Dynamic Scene Deblurring Base on Continuous Cross-Layer Attention Transmission. (arXiv:2206.11476v1 [cs.CV])

Web: http://arxiv.org/abs/2206.11476

The deep convolutional neural networks (CNNs) using attention mechanism have
achieved great success for dynamic scene deblurring. In most of these networks,
only the features refined by the attention maps can be passed to the next layer
and the attention maps of different layers are separated from each other, which
does not make full use of the attention information from different layers in
the CNN. To address this problem, we introduce a new continuous cross-layer
attention transmission (CCLAT) mechanism that …

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