pytorch-grad-cam
Transformer-MM-Explainability
| pytorch-grad-cam | Transformer-MM-Explainability | |
|---|---|---|
| 5 | 3 | |
| 9,456 | 704 | |
| - | - | |
| 5.4 | 0.0 | |
| about 1 month ago | 8 months ago | |
| Python | Jupyter Notebook | |
| MIT License | MIT License |
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pytorch-grad-cam
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Exploring GradCam and More with FiftyOne
For the two examples we will be looking at, we will be using pytorch_grad_cam, an incredible open source package that makes working with GradCam very easy. There are excellent other tutorials to check out on the repo as well.
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Which layers are doing image segmentation on AutoEncoders/U-NET?
https://github.com/jacobgil/pytorch-grad-cam.
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[D] Algorithm for view prediction?
I know I would like to use grad-CAM https://github.com/jacobgil/pytorch-grad-cam
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[P] Adapting Class Activation Maps for Object Detection and Semantic Segmentation
https://github.com/jacobgil/pytorch-grad-cam is a project that has a comprehensive collection of Pixel Attribution Methods for PyTorch (like the package name grad-cam that was the original algorithm implemented).
- [Project] Recent Class Activation Map Methods for CNNs and Vision Transformers
Transformer-MM-Explainability
What are some alternatives?
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