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Recently, I read your paper Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization, I am very interested in it and have a few questions to ask you:
- I trained the resnet200 with my own dataset, and observed the results with Grad-CAM. The result was poor, and the grad-cam graph was different after running the program every time. What was the reason?
- Is this method related to the brightness of the object in the picture? Sometimes the brighter area is judged as the target.
- The method mentioned in the paper can be used in segmentation. How do you use it?
Your help is very important to me, and I am looking forward to your reply.
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