It is shown that nonlinear transforms built on Swin-transformers can achieve better compression efficiency than transforms built on convolutional neural networks (ConvNets), while requiring fewer parameters and shorter decoding time.
Authors
Taco Cohen
5 papers
Yinhao Zhu
4 papers
Yang Yang
1 papers
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Field of Study
Computer Science
Venue Information
Name
International Conference on Learning Representations