Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks. (by hila-chefer)
HugsVision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision (by qanastek)
Transformer-Explainability | HugsVision | |
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1 | 1 | |
1,664 | 188 | |
- | - | |
0.0 | 0.0 | |
3 months ago | 9 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Transformer-Explainability
Posts with mentions or reviews of Transformer-Explainability.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-25.
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[Project] Recent Class Activation Map Methods for CNNs and Vision Transformers
Not exactly the same but since you mentioned using ViT's attention outputs as a 2D feature map for the CAM you can consider this paper (Transformer Interpretability Beyond Attention Visualization) where they study the question of how to choose/mix the attention scores in a way that can be visualized (so similar to the CAMs). Maybe it can lead to better results. https://arxiv.org/abs/2012.09838 https://github.com/hila-chefer/Transformer-Explainability
HugsVision
Posts with mentions or reviews of HugsVision.
We have used some of these posts to build our list of alternatives
and similar projects.
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[R] HugsVision: A easy-to-use HuggingFace wrapper for computer vision
Find more tutorials and informations about HugsVision on GitHub
What are some alternatives?
When comparing Transformer-Explainability and HugsVision you can also consider the following projects:
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)