Comments (4)
@ldlshizhu
Hi, thank you for your interest, what does "CAM" exactly mean in your context?
This task is not for classification so there is no CAM for a certain class.
Does it mean a feature map visualization as Fig. 6 in the paper?
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I'm sorry I didn't make it clear. As you guessed, "CAM" is a well-known class activation tool, which can well reflect the areas that our network pays attention to (such as blurred people in motion in photos). Of course, it's very convincing for you to visualize in other ways (such as Figure 6 and Figure 7)! So can you kindly publish the code of feature graph visualization when you publish the source code?
Have a nice life! Look forward to your work.
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This is the project address of cam, so you can have a look if you are interested :D
https://github.com/jacobgil/pytorch-grad-cam
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@ldlshizhu
Thank you for your recommendation, I will consider it when I upload it :)
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