pytorch-grad-cam
XAI
| pytorch-grad-cam | XAI | |
|---|---|---|
| 5 | 1 | |
| 9,456 | 18 | |
| - | - | |
| 5.4 | 0.0 | |
| about 1 month ago | almost 2 years ago | |
| Python | Python | |
| 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
XAI
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My failure of using Python DEAP package.
An example of custom functions can be seen at: https://github.com/ben-ix/XAI/blob/master/src/base.py
What are some alternatives?
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Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
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