Channel Attention Networks for Image Translation

Channel Attention Networks for Image Translation

Existing image-to-image translation methods usually adopt an encoder-decoder structure to generate images. The encoder extracts the features of input images using a sequence of convolution layers until a bottleneck, and then, the intermediate features are decoded to the target image. However, the ex...

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Bibliographic Details
Main Authors: Song Sun, Bo Zhao, Xin Chen, Muhammad Mateen, Junhao Wen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
computer vision
image generation
generative adversarial networks
image translation
Online Access:https://ieeexplore.ieee.org/document/8755856/

Internet

https://ieeexplore.ieee.org/document/8755856/

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