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Currently, it only supports cnn-based models due to the incompatible feature shape with transformed-based models. You can try to adapt the GradCAM to transformer-based models, mainly about |
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When I use
tools/visualizations/vis_cam.py
for cnn-based models I can get the expected results.However, it seems that it doesn't work for transformer-based models.
What do I need to do if I want to use Gradcam for Transformer-based models?
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