The-AI-Summer/self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
This is a set of building blocks for computer vision engineers to implement advanced image processing. It helps in developing custom models that analyze visual data by providing ready-to-use self-attention mechanisms. Computer vision researchers and deep learning practitioners can use this to build and experiment with novel image classification and segmentation architectures.
1,215 stars. No commits in the last 6 months.
Use this if you are a deep learning engineer or researcher specifically working on computer vision tasks and need to integrate various self-attention mechanisms into your PyTorch models.
Not ideal if you are not familiar with PyTorch or deep learning concepts, or if you need a plug-and-play solution for common image tasks without custom model development.
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Python
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MIT
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Sep 14, 2021
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