Comments (2)
icandle
commented on June 24, 2024
因为CAMixer涉及到对不同窗口用卷积或是注意力的划分，而在训练中直接使用softmax或是直接取前k个是不可行的，前者无法表现离散的选择，后者(argmax)存在不可导的问题，因此使用gumblel_softmax来计算一个0-1掩码用于训练，而在推理中我们使用argmax选取前k个窗口计算注意力。更细节的实现你可以参考原论文：Categorical Reparameterization with Gumbel-Softmax
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wyhhhhhhhh
commented on June 24, 2024
谢谢！
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Related Issues (20)
- 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
- the result of net is something wrong HOT 15
- Flops HOT 1
- 核心work的模块是啥 HOT 10
- 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
- 找不到basicsr.utils HOT 2
- How to infer on real-world images? HOT 2
- Figure 4 Predicted Mask m Visualization
- "No object named 'CAMixerSR_basicsr' found in 'arch' registry!"
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