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Thanks for your great work and contribution to the community! Your package helped a lot for my research.
I am just wondering if you would be interested in our new attribution method, which improves the quality of IG-based methods (e.g., IG, GIG, and BlurIG). The paper is accepted by and will be presented in CVPR 2023. Here is the link if you are interested: https://arxiv.org/abs/2303.14242
Since I heavily used your package during my research so I am happy to share/contribute our method if you are interested.
I have already read the contributing guidelines and submitted the CLA. Since the code I have is based on different IG-based methods, I am just wondering how can I start to contribute.
We are open to any suggestions, instructions, and discussion. Again, thanks for your package and the great work!
The text was updated successfully, but these errors were encountered:
Hi PAIR-code/saliency team,
Thanks for your great work and contribution to the community! Your package helped a lot for my research.
I am just wondering if you would be interested in our new attribution method, which improves the quality of IG-based methods (e.g., IG, GIG, and BlurIG). The paper is accepted by and will be presented in CVPR 2023. Here is the link if you are interested: https://arxiv.org/abs/2303.14242
Since I heavily used your package during my research so I am happy to share/contribute our method if you are interested.
I have already read the contributing guidelines and submitted the CLA. Since the code I have is based on different IG-based methods, I am just wondering how can I start to contribute.
We are open to any suggestions, instructions, and discussion. Again, thanks for your package and the great work!
The text was updated successfully, but these errors were encountered: