Regularizing Attention Scores with Bootstrapping
Regularizing Attention Scores with Bootstrapping explores A novel bootstrapping method for vision transformers that quantifies attention score uncertainty, leading to more interpretable and sparse attention maps for image analysis.. Commercial viability score: 7/10 in Computer Vision.
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