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很多论文中为了解释模型的可行性,采用了可视化模型输出的某一层特征图,使用热力图显示,注意基于TransFormer和CNN的模型可视化方法有所不同,PaddleVIT能否集成这些可视化方案呢?
目前已有人实现了这些方法,可以参考这些github连接: https://github.com/hila-chefer/Transformer-Explainability https://github.com/jacobgil/pytorch-grad-cam
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Thanks for the issue. 非常好的建议,对于使用PaddleViT做研究的同学来说的确是比较有用的一个工具。 我这边会尽快调研相关功能并开始实现。
如果有任何其他需求,请随时提issue。
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xperzy
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很多论文中为了解释模型的可行性,采用了可视化模型输出的某一层特征图,使用热力图显示,注意基于TransFormer和CNN的模型可视化方法有所不同,PaddleVIT能否集成这些可视化方案呢?
目前已有人实现了这些方法,可以参考这些github连接:
https://github.com/hila-chefer/Transformer-Explainability
https://github.com/jacobgil/pytorch-grad-cam
The text was updated successfully, but these errors were encountered: