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View Code? Open in Web Editor NEWEdge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)
License: Apache License 2.0
Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)
License: Apache License 2.0
Hello,
MSU Graphics & Media Lab Video Group has recently launched two new Super-Resolution Benchmarks.
If you are interested in participating, you can add your algorithm following the submission steps:
We would be grateful for your feedback on our work!
can you tell me about you loss function code
hello, i can not find the place to set patch size, it is not involved in the train.yml?
EDBB depth_multiplier preset = out_planes * inp_planes > mid_planes = out_planes * depth_multiplierare right?
ECBSR depth_multiplier preset = 2.0
https://github.com/xindongzhang/ECBSR/blob/main/models/ecbsr.py
What parameter do I need to change for 2x upscaling?
Thanks for your work! I've learned a lot and read your core code. Now I have some questions in training details.
In the paper, during the training phase we use EDBB with 7 branches. When training finished we reparameterize EDBB into vanilla convolution for inference and deployment. These can be implemented by 'switch_to_deploy' method in 'EFDN' class.
What confused me most is:
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