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eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation
To close these crucial gaps, we propose a novel vision transformer dubbed the eXplainable Vision Transformer (eX-ViT), an intrinsically interpretable transformer model that is able to jointly discover robust interpretable features and perform the prediction.
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