Comments (13)
Arm: Any-time super-resolution method
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不要mask 效果如何?
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主要work的是CAMixer,但基本上来说,这篇工作依赖于对于复杂和简单区域采用不同复杂的的计算获得性能改善。如果区域分别不出来的话,可能需要其他指标。因为CAMixer是用图像区域的复杂度进行分类,这个指标也可以换成其他的。如果不要mask那就是相当于一个普通的WSA和卷积的结合,效果类似但计算量比较大。
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您好 请问如何获得图像区域的复杂度,具体指标是?
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没有获取,直接全部弄进去搞
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直接predictor 分类得到 二进制 mask ?
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是的,这篇工作和classSR一样是用predictor生成mask,但也有用edge score分类的。
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是的,这篇工作和classSR一样是用predictor生成mask,但也有用edge score分类的。
你好,请问根据edge score分类的,具体有哪些论文呢,可不可以说一下?谢谢!
from camixersr.
from camixersr.
主要work的是CAMixer,但基本上来说,这篇工作依赖于对于复杂和简单区域采用不同复杂的的计算获得性能改善。如果区域分别不出来的话,可能需要其他指标。因为CAMixer是用图像区域的复杂度进行分类,这个指标也可以换成其他的。如果不要mask那就是相当于一个普通的WSA和卷积的结合,效果类似但计算量比较大。
我试图复现文章中的mask的作用,文章中图4展现了一些图像不同复杂度对应的概率,但是在复现过程中我发现可视化出的mask十分随机,并不能表现出图像的复杂程度,mask的上一步的pred_score也没有我想要的表现。我的问题是想知道作者在可视化图4中的概率和mask与图片复杂度对应关系上使用的是哪一部分的值?这个值应该从整个SR模型中的第几个predictor中得到?Looking forward to your reply, thanks.
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Related Issues (20)
- the result of net is something wrong HOT 15
- Flops HOT 1
- AssertionError:bird_HR_x4.png is not in lq_paths HOT 2
- AssertionError: 41033_HR_x4.png is not in lq_paths. HOT 1
- 请问作者有尝试过在这个算法中用GAN吗 HOT 3
- Mask Visualization HOT 1
- The mask of CAMixer, Visualization. HOT 6
- How the offsets work? HOT 4
- 关于在训练时使用gumble softmax的细节 HOT 2
- Cant find the file HOT 1
- 找不到basicsr.utils HOT 2
- How to infer on real-world images? HOT 2
- File missing
- difference of these pretrained models HOT 2
- Concerning the addition of three conditions in the article, I have some doubts and don't understand them. HOT 3
- How to test with my own local imgs? HOT 5
- How do I go through the training process? HOT 1
- How can I use pretrained models? HOT 4
- train_example.yml中的meta_info_file是什么? HOT 1
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